Recent advances in clonal selection algorithms and applications

Clonal selection algorithms (CSAs) are a kind of Artificial Immune Algorithms (AIAs). In this paper, recent advances in clonal selection algorithms are summarized and reviewed. First, the basic framework of clonal selection algorithms is given. Second, various types of applications using clonal selection algorithms are summarized, including global optimization, constrained optimization, combinatorial optimization, multiobjective optimization, dynamic optimization and other applications. Last, a brief conclusion and some remarks about clonal selection algorithms are given.

[1]  Ali R. Yildiz,et al.  A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations , 2013, Appl. Soft Comput..

[2]  Alan S. Perelson,et al.  Self-nonself discrimination in a computer , 1994, Proceedings of 1994 IEEE Computer Society Symposium on Research in Security and Privacy.

[3]  Pupong Pongcharoen,et al.  Development of a stochastic optimisation tool for solving the multiple container packing problems. , 2012 .

[4]  Yongsheng Ding,et al.  A Novel Automatic Detection System for ECG Arrhythmias Using Maximum Margin Clustering with Immune Evolutionary Algorithm , 2013, Comput. Math. Methods Medicine.

[5]  Qiuzhen Lin,et al.  A double-module immune algorithm for multi-objective optimization problems , 2015, Appl. Soft Comput..

[6]  Sadan Kulturel-Konak,et al.  A review of clonal selection algorithm and its applications , 2011, Artificial Intelligence Review.

[7]  Beatriz Souza Leite Pires de Lima,et al.  Bio‐inspired algorithms for the optimization of offshore oil production systems , 2012 .

[8]  Pei-Chann Chang,et al.  A self-evolving artificial immune system II with T-cell and B-cell for permutation flow-shop problem , 2013, Journal of Intelligent Manufacturing.

[9]  Yoshiteru Ishida.  Fully distributed diagnosis by PDP learning algorithm: towards immune network PDP model , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[10]  Shu-qu Qian,et al.  Dynamic immune optimization algorithm for Knapsack problem in dynamic environments , 2013, IEEE Conference Anthology.

[11]  Merve Aydin,et al.  A new methodology to cluster derivative product modules: an application , 2016 .

[12]  Wenliang Wang.  Design of nonpolarizing antireflection coating by using multiobjective optimization algorithm , 2013 .

[13]  Yong Peng,et al.  Hybrid learning clonal selection algorithm , 2015, Inf. Sci..

[14]  Fang Liu,et al.  On the use of immune clonal optimization for joint subcarrier and power allocation in OFDMA with proportional fairness rate , 2013, Int. J. Commun. Syst..

[15]  Tzuu-Hseng S. Li,et al.  Hybrid Taguchi-chaos of multilevel immune and the artificial bee colony algorithm for parameter identification of chaotic systems , 2012, Comput. Math. Appl..

[16]  R. Chakrabarti,et al.  Short-term hydrothermal scheduling using clonal selection algorithm , 2011 .

[17]  Bo Chen,et al.  Optimal control of mobile monitoring agents in immune-inspired wireless monitoring networks , 2011, J. Netw. Comput. Appl..

[18]  Licheng Jiao,et al.  Bag-of-Visual-Words Based on Clonal Selection Algorithm for SAR Image Classification , 2011, IEEE Geoscience and Remote Sensing Letters.

[19]  Julie Greensmith,et al.  The Deterministic Dendritic Cell Algorithm , 2008, ICARIS.

[20]  Zhuhong Zhang,et al.  Artificial immune optimization system solving constrained omni-optimization , 2011, Evol. Intell..

[21]  Erik Valdemar Cuevas Jiménez,et al.  Automatic multiple circle detection based on artificial immune systems , 2012, Expert Syst. Appl..

[22]  Khalifa Djemal,et al.  An Immune-Inspired Approach for Breast Cancer Classification , 2013, EANN.

[23]  Jia Wang,et al.  Immune clonal coevolutionary algorithm for dynamic multiobjective optimization , 2014, Natural Computing.

[24]  Jing Liu,et al.  A preference multi-objective optimization based on adaptive rank clone and differential evolution , 2013, Natural Computing.

[25]  Jun Wang,et al.  A hybrid quantum-inspired immune algorithm for multiobjective optimization , 2011, Appl. Math. Comput..

[26]  Hao Jiang,et al.  On Location and Trace Privacy of the Moving Object Using the Negative Survey , 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

[27]  Fernando Niño,et al.  Recent Advances in Artificial Immune Systems: Models and Applications , 2011, Appl. Soft Comput..

[28]  Tim Blackwell,et al.  Particle Swarm Optimization in Dynamic Environments , 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

[29]  Maoguo Gong,et al.  A Multipopulation Coevolutionary Strategy for Multiobjective Immune Algorithm , 2014, TheScientificWorldJournal.

[30]  Mohammad R. Akbarzadeh-Totonchi,et al.  A Novel Quantum Immune Algorithm for Multiobjective Flexible Job Shop Scheduling , 2014, Int. J. Artif. Intell. Tools.

[31]  Gary G. Yen,et al.  Immune-inspired evolutionary algorithm for constrained optimization , 2012, 2012 IEEE Congress on Evolutionary Computation.

[32]  Yi-Hua Fan,et al.  Constrained design optimization of active magnetic bearings through an artificial immune system , 2016 .

[33]  Armando M. Leite da Silva,et al.  A Cluster and Gradient-Based Artificial Immune System Applied in Optimization Scenarios , 2012, IEEE Transactions on Evolutionary Computation.

[34]  Manoj Kumar Tiwari,et al.  B2B multi-attribute e-procurement: an artificial immune system based goal programming approach , 2011 .

[35]  Maoguo Gong,et al.  An efficient negative selection algorithm with further training for anomaly detection , 2012, Knowl. Based Syst..

[36]  Jason Brownlee,et al.  Clonal selection algorithms , 2007 .

[37]  Chiun-Chieh Hsu,et al.  An Intelligent Artificial System : Artificial Immune based Hybrid Genetic Algorithm for the Vehicle Routing Problem , 2014 .

[38]  Gang Yang,et al.  Hybrid Gravitational Search and Clonal Selection Algorithm for Global Optimization , 2013, ICSI.

[39]  Jui-Yu Wu,et al.  Solving Constrained Global Optimization via Artificial Immune System , 2011, Int. J. Artif. Intell. Tools.

[40]  Malabika Basu,et al.  Artificial immune system for dynamic economic dispatch , 2011 .

[41]  Stephanie Forrest,et al.  Architecture for an Artificial Immune System , 2000, Evolutionary Computation.

[42]  Zhonghua Li,et al.  Optimal scheduling-based RFID reader-to-reader collision avoidance method using artificial immune system , 2013, Appl. Soft Comput..

[43]  Yilong Yin,et al.  A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems , 2016, IEEE Transactions on Evolutionary Computation.

[44]  Y. Zhu,et al.  A Local-Concentration-Based Feature Extraction Approach for Spam Filtering , 2011, IEEE Transactions on Information Forensics and Security.

[45]  K. Vaisakh,et al.  Application of ACSA for solving multi-objective optimal power flow problem with load uncertainty , 2013, 2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN).

[46]  Sishaj P. Simon,et al.  Dynamic economic dispatch using artificial immune system for units with valve-point effect , 2011 .

[47]  Dipankar Dasgupta,et al.  A Survey of Recent Works in Artificial Immune Systems , 2016 .

[48]  R.W. Morrison,et al.  Triggered hypermutation revisited , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[49]  Feng Qian,et al.  Immune response-based algorithm for optimization of dynamic environments , 2011 .

[50]  Yi Li,et al.  Generative tracking of 3D human motion in latent space by sequential clonal selection algorithm , 2014, Multimedia Tools and Applications.

[51]  Masoud Rabbani,et al.  An Artificial Immune Algorithm for the project scheduling problem under resource constraints , 2011, Appl. Soft Comput..

[52]  Zheng Tang,et al.  A Novel Clonal Selection Algorithm and its Application , 2007, 2008 International Conference on Apperceiving Computing and Intelligence Analysis.

[53]  Muhammad Rozi Malim,et al.  Immunology and Artificial Immune Systems , 2012, Int. J. Artif. Intell. Tools.

[54]  André Carlos Ponce de Leon Ferreira de Carvalho,et al.  Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers , 2015, GECCO.

[55]  Qiuzhen Lin,et al.  A novel micro-population immune multiobjective optimization algorithm , 2013, Comput. Oper. Res..

[56]  Mohammad Reza Meybodi,et al.  A multi-swarm cellular PSO based on clonal selection algorithm in dynamic environments , 2012, 2012 International Conference on Informatics, Electronics & Vision (ICIEV).

[57]  Zhang Lei,et al.  Designing of classifiers based on immune principles and fuzzy rules , 2008, Inf. Sci..

[58]  Sanjay Kumar Shukla,et al.  Chaos-based improved immune algorithm (CBIIA) for resource-constrained project scheduling problems , 2011, Expert Syst. Appl..

[59]  Hisao Ishibuchi,et al.  Evolutionary many-objective optimization: A short review , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[60]  Hugues Bersini,et al.  Hints for Adaptive Problem Solving Gleaned from Immune Networks , 1990, PPSN.

[61]  Carolina P. de Almeida,et al.  Improved Cultural Immune Systems to solve the economic load dispatch problems , 2013, 2013 IEEE Congress on Evolutionary Computation.

[62]  Shih-Cheng Horng,et al.  Merging artificial immune system and ordinal optimization for solving the optimal buffer resource allocation of production line , 2017, 2017 9th International Conference on Knowledge and Smart Technology (KST).

[63]  Zheng Qu,et al.  Research of Hybrid Biogeography Based Optimization and Clonal Selection Algorithm for Numerical Optimization , 2011, ICSI.

[64]  Hamidreza Zareipour,et al.  Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm , 2015 .

[65]  Wenjian Luo,et al.  One-time password authentication scheme based on the negative database , 2017, Eng. Appl. Artif. Intell..

[66]  Lei Fang,et al.  A Quantum-Inspired Artificial Immune System for Multiobjective 0-1 Knapsack Problems , 2010, ISNN.

[67]  Simone A. Ludwig.  Clonal selection based fuzzy C-means algorithm for clustering , 2014, GECCO.

[68]  Everton Z. Nadalin,et al.  Multimodal optimization in the context of Sparse Component Analysis , 2011, 2011 IEEE Symposium On Computational Intelligence For Multimedia, Signal And Vision Processing.

[69]  Gary G. Yen,et al.  Constrained Optimization Via Artificial Immune System , 2014, IEEE Transactions on Cybernetics.

[70]  Fei Long,et al.  Danger theory based artificial immune system solving dynamic constrained single-objective optimization , 2014, Soft Comput..

[71]  Heder S. Bernardino,et al.  Surrogate-assisted clonal selection algorithms for expensive optimization problems , 2011, Evol. Intell..

[72]  Yi-Chih Hsieh,et al.  Solving nonlinear constrained optimization problems: An immune evolutionary based two-phase approach , 2015 .

[73]  Shu Gong,et al.  Constrained multiobjective optimization for microgrid based on nondominated immune algorithm , 2015 .

[74]  Kenli Li,et al.  Hybrid immune algorithm based on greedy algorithm and delete-cross operator for solving TSP , 2014, Soft Computing.

[75]  Gary G. Yen,et al.  A quasi-gradient and cluster-based artificial immune system for dynamic optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.

[76]  Ran Liu,et al.  Negative Iris Recognition , 2018, IEEE Transactions on Dependable and Secure Computing.

[77]  Berna Haktanirlar Ulutas,et al.  Dynamic facility layout problem in footwear industry , 2015 .

[78]  Carlos A. Coello Coello.  Constraint-handling techniques used with evolutionary algorithms , 2007, GECCO '07.

[79]  Shengxiang Yang,et al.  Population-Based Incremental Learning with Immigrants Schemes in Changing Environments , 2015, 2015 IEEE Symposium Series on Computational Intelligence.

[80]  Zheng-Yi Chai,et al.  Rate adaptive resource allocation in orthogonal frequency division multiple access system using multi-objective immune algorithm , 2014, Int. J. Commun. Syst..

[81]  M. Y. El-Sharkh.  Clonal selection algorithm for power generators maintenance scheduling , 2014 .

[82]  LinLin Shen,et al.  An Immune-Inspired Evolution Strategy for Constrained Optimization Problems , 2011, Int. J. Artif. Intell. Tools.

[83]  Bin Jiang,et al.  Constrained Multiobjective Optimization Algorithm Based on Immune System Model , 2016, IEEE Transactions on Cybernetics.

[84]  Fernando José Von Zuben,et al.  Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..

[85]  A. C. Zambroni de Souza,et al.  Artificial Immune Systems Optimization Approach for Multiobjective Distribution System Reconfiguration , 2015, IEEE Transactions on Power Systems.

[86]  Xiao Zhi Gao,et al.  A Hybrid Optimization Method for Fuzzy Classification Systems , 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

[87]  Shen Lianfeng,et al.  Rate adaptive resource allocation in orthogonal frequency division multiple access system using multi-objective immune algorithm , 2014 .

[88]  Min-Chie Chiu.  Numerical Assessment of Optimal Equipment Allocation and Close-Fitting Acoustical Hoods Within a Multi-Noise Plant Using an Artificial Immune Method , 2013 .

[89]  Hirotada Ohashi,et al.  A negative selection algorithm for classification and reduction of the noise effect , 2009, Appl. Soft Comput..

[90]  Wei Tan,et al.  Cigarette Production Scheduling by Combining Workflow Model and Immune Algorithm , 2014, IEEE Transactions on Automation Science and Engineering.

[91]  Fang Liu,et al.  A Novel Immune Optimization Algorithm for Fairness Resource Allocation in Cognitive Wireless Network , 2013, Wirel. Pers. Commun..

[92]  Emma Hart,et al.  An improved immune inspired hyper-heuristic for combinatorial optimisation problems , 2014, GECCO.

[93]  Fei Long,et al.  Immune optimization approach solving multi-objective chance-constrained programming , 2015, Evol. Syst..

[94]  Lin Li,et al.  Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization , 2014, Soft Comput..

[95]  Efrén Mezura-Montes,et al.  Immune generalized differential evolution for dynamic multiobjective optimization problems , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

[96]  Maoguo Gong,et al.  Community Detection in Dynamic Social Networks Based on Multiobjective Immune Algorithm , 2012, Journal of Computer Science and Technology.

[97]  Jing Zhang,et al.  Coevolutionary Particle Swarm Optimization Using AIS and its Application in Multiparameter Estimation of PMSM , 2013, IEEE Transactions on Cybernetics.

[98]  Fang Liu,et al.  A Novel Immune Clonal Algorithm for MO Problems , 2012, IEEE Transactions on Evolutionary Computation.

[99]  Dharmendra Sharma,et al.  Clonal Selection Algorithm for Classification , 2011, ICARIS.

[100]  J Timmis,et al.  An artificial immune system for data analysis. , 2000, Bio Systems.

[101]  Zhuhong Zhang,et al.  Artificial immune system in dynamic environments solving time-varying non-linear constrained multi-objective problems , 2011, Soft Comput..