A survey on nature inspired metaheuristic algorithms for partitional clustering
暂无分享,去创建一个
[1] Swagatam Das,et al. Automatic Clustering Using an Improved Differential Evolution Algorithm , 2007 .
[2] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[3] R. J. Kuo,et al. Application of ant K-means on clustering analysis , 2005 .
[4] Hsing-Chih Tsai,et al. Modification of the fish swarm algorithm with particle swarm optimization formulation and communication behavior , 2011, Appl. Soft Comput..
[5] Swagatam Das,et al. Clustering in mobile ad hoc networks with differential evolution , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[6] Joshua D. Knowles,et al. Multi-Objective Clustering and Cluster Validation , 2006, Multi-Objective Machine Learning.
[7] Abdolreza Hatamlou,et al. Black hole: A new heuristic optimization approach for data clustering , 2013, Inf. Sci..
[8] Ujjwal Maulik,et al. Multiobjective Genetic Algorithms for Clustering - Applications in Data Mining and Bioinformatics , 2011 .
[9] Chenghu Zhou,et al. ACOMCD: A multiple cluster detection algorithm based on the spatial scan statistic and ant colony optimization , 2012, Comput. Stat. Data Anal..
[10] Thomas Bäck,et al. A Survey of Evolution Strategies , 1991, ICGA.
[11] Julia Handl,et al. Improved Ant-Based Clustering and Sorting , 2002, PPSN.
[12] Dantong Ouyang,et al. An artificial bee colony approach for clustering , 2010, Expert Syst. Appl..
[13] Donald C. Wunsch,et al. A Comparison Study of Validity Indices on Swarm-Intelligence-Based Clustering , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[14] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[15] M. Younis,et al. On efficient clustering of wireless sensor networks , 2006, Second IEEE Workshop on Dependability and Security in Sensor Networks and Systems.
[16] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[17] Francesco Fontanella,et al. An Innovative Approach to Genetic Programming - based Clustering , 2004, WSC.
[18] Tien-Hsiung Ku,et al. Whole-genome sequencing and identification of Morganella morganii KT pathogenicity-related genes , 2012, BMC Genomics.
[19] Andrew W. Moore,et al. Accelerating exact k-means algorithms with geometric reasoning , 1999, KDD '99.
[20] Jeng-Shyang Pan,et al. Cat swarm optimization , 2006 .
[21] Chi-Yang Tsai,et al. Particle swarm optimization with selective particle regeneration for data clustering , 2011, Expert Syst. Appl..
[22] Ajith Abraham,et al. Web usage mining using artificial ant colony clustering and linear genetic programming , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[23] Herman K. van Dijk,et al. Special Issue on Statistical and Computational Methods in Finance , 2008, Comput. Stat. Data Anal..
[24] Morteza Haghir Chehreghani,et al. Novel meta-heuristic algorithms for clustering web documents , 2008, Appl. Math. Comput..
[25] R. K. Ursem. Multi-objective Optimization using Evolutionary Algorithms , 2009 .
[26] Ismael Rodríguez,et al. Using River Formation Dynamics to Design Heuristic Algorithms , 2007, UC.
[27] Modjtaba Rouhani,et al. A Multi-objective Gravitational Search Algorithm , 2010, CICSyN.
[28] Satyasai Jagannath Nanda,et al. Artificial Immune Systems: Principle, Algorithms and Applications , 2009 .
[29] Xin-She Yang,et al. Multiobjective firefly algorithm for continuous optimization , 2012, Engineering with Computers.
[30] Yong Gao,et al. Comments on "Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. I. Basic properties of selection and mutation" [and reply] , 1998, IEEE Trans. Neural Networks.
[31] Budi Santosa,et al. Cat Swarm Optimization for Clustering , 2009, 2009 International Conference of Soft Computing and Pattern Recognition.
[32] Steven J. Phillips. Acceleration of K-Means and Related Clustering Algorithms , 2002, ALENEX.
[33] Andries P. Engelbrecht,et al. Image Classification using Particle Swarm Optimization , 2002, SEAL.
[34] Thomas E. Potok,et al. Document clustering using particle swarm optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[35] Swagatam Das,et al. Automatic Clustering Based on Invasive Weed Optimization Algorithm , 2011, SEMCCO.
[36] Ujjwal Maulik,et al. Validity index for crisp and fuzzy clusters , 2004, Pattern Recognit..
[37] Ricardo J. G. B. Campello,et al. Evolving clusters in gene-expression data , 2006, Inf. Sci..
[38] K. alik,et al. Validity index for clusters of different sizes and densities , 2011 .
[39] Xin-She Yang,et al. Bat algorithm: a novel approach for global engineering optimization , 2012, 1211.6663.
[40] Wojciech Kwedlo,et al. A clustering method combining differential evolution with the K-means algorithm , 2011, Pattern Recognit. Lett..
[41] Joshua D. Knowles,et al. An Evolutionary Approach to Multiobjective Clustering , 2007, IEEE Transactions on Evolutionary Computation.
[42] Maoguo Gong,et al. Immunodominance and clonal selection inspired multiobjective clustering , 2009 .
[43] Ujjwal Maulik,et al. An evolutionary technique based on K-Means algorithm for optimal clustering in RN , 2002, Inf. Sci..
[44] Ganapati Panda,et al. Improved identification of Hammerstein plants using new CPSO and IPSO algorithms , 2010, Expert Syst. Appl..
[45] Tae Su Chung,et al. Evolution strategy applied to global optimization of clusters in gene expression data of DNA microarrays , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[46] Hans-Paul Schwefel,et al. Numerical Optimization of Computer Models , 1982 .
[47] Xiaohui Yan,et al. A new approach for data clustering using hybrid artificial bee colony algorithm , 2012, Neurocomputing.
[48] Martin J. Oates,et al. The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation , 2000, PPSN.
[49] Peter Merz,et al. Analysis of gene expression profiles: an application of memetic algorithms to the minimum sum-of-squares clustering problem. , 2003, Bio Systems.
[50] Shokri Z. Selim,et al. A simulated annealing algorithm for the clustering problem , 1991, Pattern Recognit..
[51] Xin-She Yang,et al. Firefly algorithm, stochastic test functions and design optimisation , 2010, Int. J. Bio Inspired Comput..
[52] Yi-Zeng Liang,et al. Cluster analysis by the K-means algorithm and simulated annealing , 1994 .
[53] Amir Hossein Alavi,et al. Krill herd: A new bio-inspired optimization algorithm , 2012 .
[54] Sanghamitra Bandyopadhyay,et al. Some connectivity based cluster validity indices , 2012, Appl. Soft Comput..
[55] Dayou Liu,et al. K-harmonic means data clustering with Differential Evolution , 2009, 2009 International Conference on Future BioMedical Information Engineering (FBIE).
[56] Gilles Venturini,et al. AntTree: a new model for clustering with artificial ants , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[57] Sandra Paterlini,et al. High performance clustering with differential evolution , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[58] Ujjwal Maulik,et al. A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA , 2008, IEEE Transactions on Evolutionary Computation.
[59] Alfonso Amendola,et al. Dynamics of a two-fault system with viscoelastic coupling , 2013 .
[60] Ethem Alpaydin,et al. Constructive feedforward ART clustering networks. I , 2002, IEEE Trans. Neural Networks.
[61] André Carlos Ponce de Leon Ferreira de Carvalho,et al. Multi-Objective Clustering Ensemble , 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).
[62] Olli Nevalainen,et al. Self-Adaptive Genetic Algorithm for Clustering , 2003, J. Heuristics.
[63] K. Lee,et al. A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice , 2005 .
[64] Lin-Yu Tseng,et al. A genetic approach to the automatic clustering problem , 2001, Pattern Recognit..
[65] Urszula Boryczka. Finding Groups in Data: Cluster Analysis with Ants , 2006, ISDA.
[66] Rowena Cole,et al. Clustering with genetic algorithms , 1998 .
[67] Zhiwu Lu,et al. Combining multiple clusterings using fast simulated annealing , 2011, Pattern Recognit. Lett..
[68] Shahryar Rahnamayan,et al. Opposition-Based Differential Evolution for Optimization of Noisy Problems , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[69] Hassan Abolhassani,et al. Harmony K-means algorithm for document clustering , 2009, Data Mining and Knowledge Discovery.
[70] Ingo Rechenberg,et al. Evolution Strategy: Nature’s Way of Optimization , 1989 .
[71] R. MacGregor,et al. Small Business Clustering Technologies: Applications in Marketing, Management, IT and Economics , 2006 .
[72] Q. Henry Wu,et al. Bacterial Foraging Algorithm For Dynamic Environments , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[73] Angel R. Martinez,et al. Computational Statistics Handbook with MATLAB , 2001 .
[74] ZitzlerE.,et al. Multiobjective evolutionary algorithms , 1999 .
[75] Dervis Karaboga,et al. A comparative study of Artificial Bee Colony algorithm , 2009, Appl. Math. Comput..
[76] M. K. Tiwari,et al. Clustering Indian stock market data for portfolio management , 2010, Expert Syst. Appl..
[77] Pedro Oliveira,et al. An evolution strategy for multiobjective optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[78] Vladimir Estivill-Castro. Spatial Clustering for Data Mining with Genetic Algorithms , 1997 .
[79] Ye Tian,et al. Transmission Line Image Segmentation Based GA and PSO Hybrid Algorithm , 2010, 2010 International Conference on Computational and Information Sciences.
[80] Parikshit Yadav,et al. A Robust Harmony Search Algorithm Based Clustering Protocol for Wireless Sensor Networks , 2010, 2010 IEEE International Conference on Communications Workshops.
[81] Michal Bereta,et al. Immune K-means and negative selection algorithms for data analysis , 2009, Inf. Sci..
[82] M.M.A. Salama,et al. Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.
[83] L. Lhotska,et al. Modified Ant Colony Clustering Method in Long-term Electrocardiogram Processing , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[84] M.-C. Su,et al. A new cluster validity measure and its application to image compression , 2004, Pattern Analysis and Applications.
[85] Chih Chieh Yang,et al. Integration of Ant Colony SOM and K-Means for Clustering Analysis , 2006, KES.
[86] Ali Maroosi,et al. Application of honey-bee mating optimization algorithm on clustering , 2007, Appl. Math. Comput..
[87] J. C. Peters,et al. Fuzzy Cluster Analysis : A New Method to Predict Future Cardiac Events in Patients With Positive Stress Tests , 1998 .
[88] Swagatam Das,et al. Kernel-based clustering of image pixels with modified Differential Evolution , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[89] Gillian Dobbie,et al. Particle Swarm Optimization Based Clustering of Web Usage Data , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.
[90] Zong Woo Geem,et al. A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..
[91] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[92] Andries Petrus Engelbrecht,et al. Fundamentals of Computational Swarm Intelligence , 2005 .
[93] Yangyang Li,et al. Multi-objective Invasive Weed Optimization algortihm for clustering , 2012, 2012 IEEE Congress on Evolutionary Computation.
[94] Andries Petrus Engelbrecht,et al. Data clustering using particle swarm optimization , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[95] Ben Niu,et al. Multi-objective Optimization Using BFO Algorithm , 2011, ICIC.
[96] L.N. de Castro,et al. Text document classification using swarm intelligence , 2005, International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005..
[97] V. Mani,et al. Clustering using firefly algorithm: Performance study , 2011, Swarm Evol. Comput..
[98] Yan Ling,et al. Application of evolution strategy in cluster analysis , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).
[99] Baldo Faieta,et al. Diversity and adaptation in populations of clustering ants , 1994 .
[100] Farid Melgani,et al. Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[101] Palma Blonda,et al. A survey of fuzzy clustering algorithms for pattern recognition. II , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[102] Russell C. Eberhart,et al. Recent advances in particle swarm , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[103] Cong Xu,et al. Multi-elitist immune clonal quantum clustering algorithm , 2013, Neurocomputing.
[104] David J. Sheskin,et al. Handbook of Parametric and Nonparametric Statistical Procedures , 1997 .
[105] Farrukh Aslam Khan,et al. Energy-efficient clustering in mobile ad-hoc networks using multi-objective particle swarm optimization , 2012, Appl. Soft Comput..
[106] Julie Greensmith,et al. The dendritic cell algorithm , 2007 .
[107] Michalis Vazirgiannis,et al. Clustering validity checking methods: part II , 2002, SGMD.
[108] Shuang Wu,et al. Clustering PPI Data Based on Bacteria Foraging Optimization Algorithm , 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.
[109] Cong Wang,et al. Data clustering using bacterial foraging optimization , 2011, Journal of Intelligent Information Systems.
[110] Alex Alves Freitas,et al. A Survey of Evolutionary Algorithms for Clustering , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[111] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[112] S. J. Nanda,et al. Accurate partitional clustering algorithm based on immunized PSO , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).
[113] Yunlong Zhu,et al. A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm , 2010 .
[114] Xin-She Yang,et al. Firefly Algorithms for Multimodal Optimization , 2009, SAGA.
[115] C. A. Murthy,et al. In search of optimal clusters using genetic algorithms , 1996, Pattern Recognit. Lett..
[116] Dervis Karaboga,et al. A novel clustering approach: Artificial Bee Colony (ABC) algorithm , 2011, Appl. Soft Comput..
[117] Ujjwal Maulik,et al. Genetic algorithm-based clustering technique , 2000, Pattern Recognit..
[118] Leandro Nunes de Castro,et al. Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm , 2005, Informatica.
[119] Tao Liu,et al. A New Clustering Algorithm Based on Artificial Immune System , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.
[120] Reza Akbari,et al. A multi-objective artificial bee colony algorithm , 2012, Swarm Evol. Comput..
[121] Pablo A. Estévez,et al. Genetic programming-based clustering using an information theoretic fitness measure , 2007, 2007 IEEE Congress on Evolutionary Computation.
[122] Punam Bedi,et al. Cuckoo Search Clustering Algorithm: A novel strategy of biomimicry , 2011, 2011 World Congress on Information and Communication Technologies.
[123] Olatz Arbelaitz,et al. Towards a standard methodology to evaluate internal cluster validity indices , 2011, Pattern Recognit. Lett..
[124] Ibrahim Aljarah,et al. A new clustering approach based on Glowworm Swarm Optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.
[125] Anil K. Jain,et al. Knowledge-based clustering scheme for collection management and retrieval of library books , 1995, Pattern Recognit..
[126] Bijaya K. Panigrahi,et al. Multi-objective optimization with artificial weed colonies , 2011, Inf. Sci..
[127] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[128] Fang Liu,et al. Artificial immune multi-objective SAR image segmentation with fused complementary features , 2011, Inf. Sci..
[129] Alex A. Freitas,et al. A survey of evolutionary algorithms for data mining and knowledge discovery , 2003 .
[130] Bernard Mulgrew,et al. Distributed DOA estimation using clustering of sensor nodes and diffusion PSO algorithm , 2013, Swarm Evol. Comput..
[131] Debahuti Mishra. Discovery of Overlapping Pattern Biclusters from Gene Expression Data using Hash based PSO , 2012 .
[132] G. Panda,et al. Automatic clustering using MOCLONAL for classifying actions of 3D human models , 2012, 2012 IEEE Symposium on Humanities, Science and Engineering Research.
[133] Ravi P. Agarwal,et al. Multiple solutions for the Dirichlet second-order boundary value problem of nonsingular type , 1999 .
[134] B. Kulkarni,et al. An ant colony approach for clustering , 2004 .
[135] Wei Zhang,et al. A genetic clustering method for intrusion detection , 2004, Pattern Recognit..
[136] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[137] Fernando Niño,et al. Recent Advances in Artificial Immune Systems: Models and Applications , 2011, Appl. Soft Comput..
[138] James C. Bezdek,et al. Genetic algorithm guided clustering , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[139] Fionn Murtagh,et al. A Survey of Recent Advances in Hierarchical Clustering Algorithms , 1983, Comput. J..
[140] Jing Li,et al. A new hybrid method based on partitioning-based DBSCAN and ant clustering , 2011, Expert Syst. Appl..
[141] Julia Handl,et al. Ant-based and swarm-based clustering , 2007, Swarm Intelligence.
[142] Dervis Karaboga,et al. Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems , 2007, IFSA.
[143] Nelson Cho. Ergodicity and seismicity clustering with applications in statistical seismology , 2011 .
[144] Hichem Frigui,et al. A Robust Competitive Clustering Algorithm With Applications in Computer Vision , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[145] T Watson Layne,et al. A Genetic Algorithm Approach to Cluster Analysis , 1998 .
[146] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[147] Kevin M. Passino,et al. Biomimicry of bacterial foraging for distributed optimization and control , 2002 .
[148] C. Lucas,et al. A novel numerical optimization algorithm inspired from weed colonization , 2006, Ecol. Informatics.
[149] Xin-She Yang,et al. A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.
[150] M. Narasimha Murty,et al. Clustering with evolution strategies , 1994, Pattern Recognit..
[151] Amit Konar,et al. Document Clustering Using Differential Evolution , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[152] Jeng-Shyang Pan,et al. Constrained Ant Colony Optimization for Data Clustering , 2004, PRICAI.
[153] Teong Chee Chuah,et al. Efficient clustering scheme for OFDMA-based multicast wireless systems using grouping genetic algorithm , 2012 .
[154] Marco Dorigo,et al. Swarm intelligence: from natural to artificial systems , 1999 .
[155] J. Dunn. Well-Separated Clusters and Optimal Fuzzy Partitions , 1974 .
[156] R. J. Kuo,et al. Application of a hybrid of genetic algorithm and particle swarm optimization algorithm for order clustering , 2010, Decis. Support Syst..
[157] Ali Maroosi,et al. Application of shuffled frog-leaping algorithm on clustering , 2009 .
[158] Andries Petrus Engelbrecht,et al. Differential evolution methods for unsupervised image classification , 2005, 2005 IEEE Congress on Evolutionary Computation.
[159] OzturkCelal,et al. A novel clustering approach , 2011 .
[160] Arantza Casillas,et al. Document Clustering into an Unknown Number of Clusters Using a Genetic Algorithm , 2003, TSD.
[161] S. Mohammadi,et al. Efficient clustering of wireless sensor networks based on memetic algorithm , 2008, 2008 International Conference on Innovations in Information Technology.
[162] Zülal Güngör,et al. K-harmonic means data clustering with simulated annealing heuristic , 2007, Appl. Math. Comput..
[163] Nikhil R. Pal,et al. A novel approach to design classifiers using genetic programming , 2004, IEEE Transactions on Evolutionary Computation.
[164] Ujjwal Maulik,et al. Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[165] Amit Konar,et al. Automatic image pixel clustering with an improved differential evolution , 2009, Appl. Soft Comput..
[166] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[167] Bassem Jarboui,et al. Combinatorial particle swarm optimization (CPSO) for partitional clustering problem , 2007, Appl. Math. Comput..
[168] Yating Hu,et al. An Improved Possibilistic Clustering Based on Differential Algorithm , 2010, 2010 2nd International Workshop on Intelligent Systems and Applications.
[169] Leandro N. de Castro,et al. Data Clustering with Particle Swarms , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[170] D. Dasgupta. Artificial Immune Systems and Their Applications , 1998, Springer Berlin Heidelberg.
[171] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[172] Jin-Jang Leou,et al. Saliency-directed color image segmentation using modified particle swarm optimization , 2012, Signal Process..
[173] Yong Tang,et al. A quantum-inspired genetic algorithm for k-means clustering , 2010, Expert Syst. Appl..
[174] A. Dickson. On Evolution , 1884, Science.
[175] Joshua D. Knowles,et al. M-PAES: a memetic algorithm for multiobjective optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[176] R. Steele. Optimization , 2005 .
[177] Hongzhou Tan,et al. A Combinational Clustering Method Based on Artificial Immune System and Support Vector Machine , 2006, KES.
[178] Taher Niknam,et al. An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis , 2010, Appl. Soft Comput..
[179] Mingyan Jiang,et al. Multiobjective optimization by Artificial Fish Swarm Algorithm , 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.
[180] Maoguo Gong,et al. Solving multiobjective clustering using an immune-inspired algorithm , 2007, 2007 IEEE Congress on Evolutionary Computation.
[181] Mandava Rajeswari,et al. Multi-objective nature-inspired clustering and classification techniques for image segmentation , 2011, Appl. Soft Comput..
[182] Fernando José Von Zuben,et al. Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..
[183] Ganapati Panda,et al. A correlation based stochastic partitional algorithm for accurate cluster analysis , 2013 .
[184] Frank Hoeppner,et al. Fuzzy shell clustering algorithms in image processing: fuzzy C-rectangular and 2-rectangular shells , 1997, IEEE Trans. Fuzzy Syst..
[185] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[186] Ricardo J. G. B. Campello,et al. Improving the Efficiency of a Clustering Genetic Algorithm , 2004, IBERAMIA.
[187] Yi Lu,et al. Incremental genetic K-means algorithm and its application in gene expression data analysis , 2004, BMC Bioinformatics.
[188] Andries Petrus Engelbrecht,et al. Clustering data in an uncertain environment using an artificial immune system , 2011, Pattern Recognit. Lett..
[189] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[190] Kuang Yu Huang,et al. Author ' s personal copy A hybrid particle swarm optimization approach for clustering and classification of datasets , 2011 .
[191] JiangDaxin,et al. Cluster Analysis for Gene Expression Data , 2004 .
[192] Jianhong Wu,et al. Data clustering - theory, algorithms, and applications , 2007 .
[193] Michalis Vazirgiannis,et al. On Clustering Validation Techniques , 2001, Journal of Intelligent Information Systems.
[194] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[195] Wei Chen,et al. Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization , 2012, Eng. Appl. Artif. Intell..
[196] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[197] Amir-Masoud Eftekhari-Moghadam,et al. An image segmentation approach based on maximum variance Intra-cluster method and Firefly algorithm , 2011, 2011 Seventh International Conference on Natural Computation.
[198] Daniel Merkle,et al. Decentralized packet clustering in networks , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..
[199] Michael J. Brusco,et al. Cross validation issues in multiobjective clustering. , 2009, The British journal of mathematical and statistical psychology.
[200] Marco Dorigo,et al. The ant colony optimization meta-heuristic , 1999 .
[201] Anil K. Jain,et al. Landscape of clustering algorithms , 2004, ICPR 2004.
[202] Hans-Paul Schwefel,et al. Evolution strategies – A comprehensive introduction , 2002, Natural Computing.
[203] Nazmul H. Siddique,et al. Evolutionary multi-objective clustering for overlapping clusters detection , 2009, 2009 IEEE Congress on Evolutionary Computation.
[204] Emanuel Falkenauer,et al. A New Representation and Operators for Genetic Algorithms Applied to Grouping Problems , 1994, Evolutionary Computation.
[205] Li-Yeh Chuang,et al. Chaotic particle swarm optimization for data clustering , 2011, Expert Syst. Appl..
[206] Jing Li,et al. Ant clustering algorithm with K-harmonic means clustering , 2010, Expert Syst. Appl..
[207] Ricardo J. G. B. Campello,et al. Evolutionary algorithms for clustering gene-expression data , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[208] K. Thangavel,et al. Novel Hybrid PSO-SA Model for Biclustering of Expression Data , 2012 .
[209] C. B. Lucasius,et al. On k-medoid clustering of large data sets with the aid of a genetic algorithm: background, feasiblity and comparison , 1993 .
[210] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[211] Benjamín Barán,et al. Multiobjective Harmony Search Algorithm Proposals , 2011, CLEI Selected Papers.
[212] YounisO.,et al. Node clustering in wireless sensor networks , 2006 .
[213] Sukumar Mishra,et al. A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation , 2005, IEEE Transactions on Evolutionary Computation.
[214] Yangyang Li,et al. Gene transposon based clone selection algorithm for automatic clustering , 2012, Inf. Sci..
[215] Ganapati Panda,et al. Connectivity constrained wireless sensor deployment using multiobjective evolutionary algorithms and fuzzy decision making , 2012, Ad Hoc Networks.
[216] Kenneth G. Manton,et al. Fuzzy Cluster Analysis , 2005 .
[217] Siu Cheung Hui,et al. Exploring ant-based algorithms for gene expression data analysis , 2009, Artif. Intell. Medicine.
[218] Palma Blonda,et al. A survey of fuzzy clustering algorithms for pattern recognition. I , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[219] Xin-She Yang,et al. Nature-Inspired Metaheuristic Algorithms , 2008 .
[220] Xin Yao,et al. Fast Evolution Strategies , 1997, Evolutionary Programming.
[221] Salwani Abdullah,et al. Application of Gravitational Search Algorithm on Data Clustering , 2011, RSKT.
[222] Ujjwal Maulik,et al. An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns , 2013, IEEE Transactions on Biomedical Engineering.
[223] Hong He,et al. A two-stage genetic algorithm for automatic clustering , 2012, Neurocomputing.
[224] Marco Dorigo,et al. Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..
[225] M. Luccini,et al. Algorithms for Node Clustering in Wireless Sensor Networks: A Survey , 2008, 2008 4th International Conference on Information and Automation for Sustainability.
[226] Cong Wang,et al. Chaotic ant swarm approach for data clustering , 2012, Appl. Soft Comput..
[227] A. Kai Qin,et al. Self-adaptive differential evolution algorithm for numerical optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.
[228] David G. Stork,et al. Pattern Classification , 1973 .
[229] Hannu Koivisto,et al. Classification and Clustering for Knowledge Discovery , 2005, Studies in Computational Intelligence.
[230] R. Sivakumar,et al. Ant-based Clustering Algorithms: A Brief Survey , 2010 .
[231] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[232] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[233] Yi Hong,et al. To combine steady-state genetic algorithm and ensemble learning for data clustering , 2008, Pattern Recognit. Lett..
[234] Donald C. Wunsch,et al. Clustering with differential evolution particle swarm optimization , 2010, IEEE Congress on Evolutionary Computation.
[235] S. C. Johnson. Hierarchical clustering schemes , 1967, Psychometrika.
[236] Ganapati Panda,et al. Automatic clustering algorithm based on multi-objective Immunized PSO to classify actions of 3D human models , 2013, Eng. Appl. Artif. Intell..
[237] Umeshwar Dayal,et al. K-Harmonic Means - A Spatial Clustering Algorithm with Boosting , 2000, TSDM.
[238] Francisco Herrera,et al. A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability , 2009, Soft Comput..
[239] DorigoM.,et al. Ant colony system , 1997 .
[240] Lakhmi C. Jain,et al. Innovations in Fuzzy Clustering - Theory and Applications , 2006, Studies in Fuzziness and Soft Computing.
[241] M. Narasimha Murty,et al. Genetic K-means algorithm , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[242] A. Brabazon,et al. An Introduction to Evolutionary Computation in Finance , 2008, IEEE Computational Intelligence Magazine.
[243] J. Lipton. Research frontiers , 1991 .
[244] Sheng Chen,et al. Multi-stage blind clustering equaliser , 1995, IEEE Trans. Commun..
[245] M. Mahdavi,et al. Web page clustering using Harmony Search optimization , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.
[246] Marcelo Luis Errecalde,et al. Adaptive clustering with artificial ants , 2005 .
[247] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..
[248] Joshua D. Knowles,et al. Evolutionary Multiobjective Clustering , 2004, PPSN.
[249] Xin-She Yang,et al. Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[250] Xin-She Yang,et al. Bat algorithm for multi-objective optimisation , 2011, Int. J. Bio Inspired Comput..
[251] Andrew R. Webb,et al. Statistical Pattern Recognition , 1999 .
[252] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[253] Mohamed S. Kamel,et al. Topic Discovery from Document Using Ant-Based Clustering Combination , 2005, APWeb.
[254] Ping He,et al. Improving constrained clustering via swarm intelligence , 2013, Neurocomputing.
[255] R. J. Kuo,et al. Integration of particle swarm optimization and genetic algorithm for dynamic clustering , 2012, Inf. Sci..
[256] Ajith Abraham,et al. Swarm Intelligence Algorithms for Data Clustering , 2008, Soft Computing for Knowledge Discovery and Data Mining.
[257] Joshua D. Knowles,et al. Improvements to the scalability of multiobjective clustering , 2005, 2005 IEEE Congress on Evolutionary Computation.
[258] Javier Del Ser,et al. A new grouping genetic algorithm for clustering problems , 2012, Expert Syst. Appl..
[259] DebK.,et al. A fast and elitist multiobjective genetic algorithm , 2002 .
[260] Antariksha Bhaduri,et al. Color Image Segmentation Using Clonal Selection-Based Shuffled Frog Leaping Algorithm , 2009, 2009 International Conference on Advances in Recent Technologies in Communication and Computing.
[261] Qingfu Zhang,et al. Multiobjective evolutionary algorithms: A survey of the state of the art , 2011, Swarm Evol. Comput..
[262] Michalis Vazirgiannis,et al. Clustering algorithms and validity measures , 2001, Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001.
[263] D. Dasgupta,et al. Advances in artificial immune systems , 2006, IEEE Computational Intelligence Magazine.
[264] Marco Dorigo,et al. Ant-based clustering: a comparative study of its relative performance with respect to k-means, average link and 1d-som , 2003 .
[265] Ujjwal Maulik,et al. Performance Evaluation of Some Clustering Algorithms and Validity Indices , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[266] Swagatam Das,et al. Automatic shape independent clustering inspired by ant dynamics , 2012, Swarm Evol. Comput..
[267] Edward A. Fox,et al. Recent Developments in Document Clustering , 2007 .
[268] Ganapati Panda,et al. A tri-stage cluster identification model for accurate analysis of seismic catalogs , 2013 .
[269] P. W. Grant,et al. Using Competing Ant Colonies to Solve k-way Partitioning Problems with Foraging and Raiding Strategies , 1999, ECAL.
[270] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[271] Ujjwal Maulik,et al. A multiobjective approach to MR brain image segmentation , 2011, Appl. Soft Comput..
[272] Sandra Paterlini,et al. Evolutionary Approaches for Cluster Analysis , 2003 .
[273] Alexander Isaev,et al. PyEvolve: a toolkit for statistical modelling of molecular evolution , 2004, BMC Bioinformatics.
[274] Xu Li,et al. A genetic annealing hybrid algorithm based clustering strategy in mobile ad hoc network , 2005, Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005..
[275] Nikhil R. Pal,et al. Genetic programming for simultaneous feature selection and classifier design , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[276] Martin J. Oates,et al. PESA-II: region-based selection in evolutionary multiobjective optimization , 2001 .
[277] Fabio A. González,et al. A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning , 2003, GECCO.
[278] Hu Yu,et al. PSO-based Energy-balanced Double Cluster-heads Clustering Routing for wireless sensor networks , 2011 .
[279] Marco Dorigo,et al. Ant-Based Clustering and Topographic Mapping , 2006, Artificial Life.
[280] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[281] Amit Konar,et al. Metaheuristic Clustering , 2009, Studies in Computational Intelligence.
[282] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[283] Aidong Zhang,et al. Cluster analysis for gene expression data: a survey , 2004, IEEE Transactions on Knowledge and Data Engineering.
[284] Xin Yao,et al. An evolutionary clustering algorithm for gene expression microarray data analysis , 2006, IEEE Transactions on Evolutionary Computation.
[285] André L. V. Coelho,et al. Inducing multi-objective clustering ensembles with genetic programming , 2010, Neurocomputing.
[286] Ling Chen,et al. A/sup 4/C: an adaptive artificial ants clustering algorithm , 2004, 2004 Symposium on Computational Intelligence in Bioinformatics and Computational Biology.
[287] Kay Chen Tan,et al. A Multi-Facet Survey on Memetic Computation , 2011, IEEE Transactions on Evolutionary Computation.
[288] Yunfei Chen,et al. A New Ant-based Clustering Algorithm on High Dimensional Data Space , 2007 .
[289] Ajith Abraham,et al. ANTIDS: Self Orga nized Ant-Based C lustering Model for Intrusion Det ection System , 2004, WSTST.
[290] Donald E. Brown,et al. A practical application of simulated annealing to clustering , 1990, Pattern Recognit..
[291] Yi Lu,et al. FGKA: a Fast Genetic K-means Clustering Algorithm , 2004, SAC '04.
[292] Luca Maria Gambardella,et al. Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..
[293] Zhoujun Li,et al. Multi-objective dynamic population shuffled frog-leaping biclustering of microarray data , 2012, BMC Genomics.
[294] Eytan Ruppin,et al. Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents , 2006, Artificial Life.
[295] Jason Brownlee,et al. Clever Algorithms: Nature-Inspired Programming Recipes , 2012 .
[296] Gurjot Singh Gaba,et al. Sensor node deployment using Bacterial Foraging Optimization , 2011, 2011 International Conference on Recent Trends in Information Systems.
[297] Joel J. P. C. Rodrigues,et al. Networking Anomaly Detection Using DSNs and Particle Swarm Optimization with Re-Clustering , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.
[298] Paul E. Green,et al. K-modes Clustering , 2001, J. Classif..
[299] Yifeng Zeng,et al. Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging , 2009, ADMI.
[300] Sandra Paterlini,et al. Differential evolution and particle swarm optimisation in partitional clustering , 2006, Comput. Stat. Data Anal..
[301] Ajith Abraham,et al. Multi-Objective Differential Evolution for Automatic Clustering with Application to Micro-Array Data Analysis , 2009, Sensors.
[302] Pierpaolo D'Urso,et al. Bagged Clustering and its application to tourism market segmentation , 2013, Expert Syst. Appl..
[303] Pierre Gançarski,et al. Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in $K$-means-Based Algorithms , 2008, IEEE Transactions on Evolutionary Computation.
[304] Michalis Vazirgiannis,et al. Cluster validity methods: part I , 2002, SGMD.
[305] Sanghamitra Bandyopadhyay,et al. A new multiobjective simulated annealing based clustering technique using symmetry , 2009, Pattern Recognit. Lett..
[306] Amit Konar,et al. Automatic Hard Clustering Using Improved Differential Evolution Algorithm , 2009 .
[307] Selcuk Okdem,et al. Cluster based wireless sensor network routing using artificial bee colony algorithm , 2010, Wireless Networks.
[308] Muzaffar Eusuff,et al. Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization , 2006 .
[309] Marco Dorigo,et al. Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[310] Xin-She Yang,et al. Engineering optimisation by cuckoo search , 2010 .
[311] G. W. Milligan,et al. An examination of procedures for determining the number of clusters in a data set , 1985 .
[312] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[313] Ana L. C. Bazzan,et al. A Multiagent, Multiobjective Clustering Algorithm , 2009, Data Mining and Multi-agent Integration.
[314] Hossein Nezamabadi-pour,et al. GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..
[315] Chao-Huang Chang. Simulated annealing clustering of Chinese words for contextual text recognition , 1996, Pattern Recognit. Lett..
[316] Ali M. S. Zalzala,et al. NOCEA: A rule-based evolutionary algorithm for efficient and effective clustering of massive high-dimensional databases , 2007, Appl. Soft Comput..
[317] Olatz Arbelaitz,et al. An extensive comparative study of cluster validity indices , 2013, Pattern Recognit..
[318] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[319] Bing Sun,et al. Numerical solution to the optimal feedback control of continuous casting process , 2007, J. Glob. Optim..
[320] Olli Nevalainen,et al. Genetic Algorithms for Large-Scale Clustering Problems , 1997, Comput. J..
[321] Ashish Ghosh,et al. Use of aggregation pheromone density for image segmentation , 2009, Pattern Recognit. Lett..
[322] Carlos A. Coello Coello,et al. Solving Multiobjective Optimization Problems Using an Artificial Immune System , 2005, Genetic Programming and Evolvable Machines.
[323] Tieli Sun,et al. An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization , 2009, Expert Syst. Appl..
[324] Thomas Stützle,et al. Ant Colony Optimization Theory , 2004 .
[325] Manish Sarkar,et al. A clustering algorithm using an evolutionary programming-based approach , 1997, Pattern Recognit. Lett..
[326] Yew-Soon Ong,et al. Memetic Computation—Past, Present & Future [Research Frontier] , 2010, IEEE Computational Intelligence Magazine.
[327] Ossama Younis,et al. Node clustering in wireless sensor networks: recent developments and deployment challenges , 2006, IEEE Network.
[328] KarabogaDervis,et al. A powerful and efficient algorithm for numerical function optimization , 2007 .
[329] Pavel Berkhin,et al. A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.
[330] Francisco Herrera,et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..
[331] Sam Kwong,et al. Ant Colony Clustering and Feature Extraction for Anomaly Intrusion Detection , 2006, Swarm Intelligence in Data Mining.
[332] Riccardo Poli,et al. Particle Swarms: The Second Decade , 2008 .
[333] Julie Greensmith,et al. Articulation and Clarification of the Dendritic Cell Algorithm , 2006, ICARIS.
[334] Pablo Moscato,et al. On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms , 1989 .
[335] Luiz Antonio Nogueira Lorena,et al. Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem , 2011, Expert Syst. Appl..
[336] Yangyang Zhang,et al. Particle swarm optimization for mobile ad hoc networks clustering , 2004, IEEE International Conference on Networking, Sensing and Control, 2004.
[337] Rafael Caballero,et al. Scatter tabu search for multiobjective clustering problems , 2011, J. Oper. Res. Soc..
[338] Shu-Chuan Chu,et al. COMPUTATIONAL INTELLIGENCE BASED ON THE BEHAVIOR OF CATS , 2007 .
[339] Yee Leung,et al. Clustering by Scale-Space Filtering , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[340] Joshua Zhexue Huang,et al. Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values , 1998, Data Mining and Knowledge Discovery.
[341] Andries Petrus Engelbrecht,et al. Particle swarm optimization method for image clustering , 2005, Int. J. Pattern Recognit. Artif. Intell..
[342] Sanghamitra Bandyopadhyay,et al. A symmetry based multiobjective clustering technique for automatic evolution of clusters , 2010, Pattern Recognit..
[343] Weiguo Sheng,et al. A hybrid algorithm for k-medoid clustering of large data sets , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[344] Xiangtao Li,et al. A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering , 2011, Expert Syst. Appl..
[345] Francesco Gagliardi,et al. A novel grammar-based genetic programming approach to clustering , 2005, SAC '05.
[346] Ganapati Panda,et al. Solving multiobjective problems using cat swarm optimization , 2012, Expert Syst. Appl..
[347] K. Shanti Swarup,et al. Particle swarm optimization based K-means clustering approach for security assessment in power systems , 2011, Expert Syst. Appl..
[348] Carlos A. Coello Coello,et al. Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[349] Andries Petrus Engelbrecht,et al. A local network neighbourhood artificial immune system for data clustering , 2007, 2007 IEEE Congress on Evolutionary Computation.
[350] Mohamed S. Kamel,et al. An aggregated clustering approach using multi-ant colonies algorithms , 2006, Pattern Recognit..
[351] D. Karaboga,et al. On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..
[352] Rainer Fuchs,et al. Topology of gene expression networks as revealed by data mining and modeling , 2003, Bioinform..
[353] Michael K. Ng,et al. Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters , 2008, IEEE Transactions on Knowledge and Data Engineering.
[354] Nicolas Monmarché,et al. AntClust: Ant Clustering and Web Usage Mining , 2003, GECCO.
[355] Mingyan Jiang,et al. Novel Clustering Algorithms Based on Improved Artificial Fish Swarm Algorithm , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.
[356] Fu-Ding Xie,et al. Image segmentation using PSO and PCM with Mahalanobis distance , 2011, Expert Syst. Appl..
[357] Andrew W. Moore,et al. X-means: Extending K-means with Efficient Estimation of the Number of Clusters , 2000, ICML.
[358] Jerzy J. Korczak,et al. Genetic Algorithms for Feature Weighting: Evolution vs. Coevolution and Darwin vs. Lamarck , 2005, MICAI.
[359] Ashish Ghosh,et al. Aggregation pheromone density based data clustering , 2008, Inf. Sci..
[360] Francisco Herrera,et al. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization , 2009, J. Heuristics.
[361] Marina Fruehauf. Artificial Immune Systems A New Computational Intelligence Paradigm , 2016 .
[362] S. Bandyopadhyay,et al. Nonparametric genetic clustering: comparison of validity indices , 2001, IEEE Trans. Syst. Man Cybern. Syst..
[363] Francesco Palmieri,et al. Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part II: Analysis of the diversification role of crossover , 1994, IEEE Trans. Neural Networks.
[364] Zhen Ji,et al. PK-means: A new algorithm for gene clustering , 2008, Comput. Biol. Chem..
[365] Licheng Jiao,et al. A granular agent evolutionary algorithm for classification , 2011, Appl. Soft Comput..
[366] Siba K. Udgata,et al. Sensor deployment in irregular terrain using Artificial Bee Colony algorithm , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[367] A.H. Channa,et al. Texture Segmentation using Ant Tree Clustering , 2006, 2006 IEEE International Conference on Engineering of Intelligent Systems.
[368] Ilya Zaliapin,et al. Clustering analysis of seismicity and aftershock identification. , 2007, Physical review letters.
[369] Tunchan Cura,et al. A particle swarm optimization approach to clustering , 2012, Expert Syst. Appl..
[370] Marco Dorigo,et al. Optimization, Learning and Natural Algorithms , 1992 .
[371] Yun Fang,et al. Application of Shuffled Frog-Leaping Algorithm in Web's Text Cluster Technology , 2011, WISM.
[372] Maoguo Gong,et al. Natural and Remote Sensing Image Segmentation Using Memetic Computing , 2010, IEEE Computational Intelligence Magazine.
[373] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[374] Lalit M. Patnaik,et al. Application of genetic programming for multicategory pattern classification , 2000, IEEE Trans. Evol. Comput..
[375] Amit Konar,et al. Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm , 2008, Pattern Recognit. Lett..
[376] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[377] Javier de Lope Asiaín,et al. Data clustering using a linear cellular automata-based algorithm , 2013, Neurocomputing.
[378] Orlando Durán,et al. A PSO-Based Clustering Algorithm for Manufacturing Cell Design , 2008, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008).
[379] Ujjwal Maulik,et al. Genetic clustering for automatic evolution of clusters and application to image classification , 2002, Pattern Recognit..
[380] Lei Zhang,et al. A novel ant-based clustering algorithm using the kernel method , 2011, Inf. Sci..
[381] George Karypis,et al. A Comparison of Document Clustering Techniques , 2000 .
[382] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[383] Xin-She Yang,et al. Multiobjective cuckoo search for design optimization , 2013, Comput. Oper. Res..
[384] Z. H. Che,et al. Clustering and selecting suppliers based on simulated annealing algorithms , 2012, Comput. Math. Appl..