Bio-Inspired Algorithms and Its Applications for Optimization in Fuzzy Clustering
暂无分享,去创建一个
[1] James M. Keller,et al. Roach Infestation Optimization , 2008, 2008 IEEE Swarm Intelligence Symposium.
[2] M. Kaedi. Fractal-based Algorithm: A New Metaheuristic Method for Continuous Optimization , 2017 .
[3] Stelios Tsafarakis,et al. A mayfly optimization algorithm , 2020, Comput. Ind. Eng..
[4] Hossein Nezamabadi-pour,et al. GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..
[5] Ismael Rodríguez,et al. Using River Formation Dynamics to Design Heuristic Algorithms , 2007, UC.
[6] Anupam Shukla,et al. Egyptian Vulture Optimization Algorithm – A New Nature Inspired Meta-heuristics for Knapsack Problem , 2013 .
[7] Hamed Shah-Hosseini,et al. Principal components analysis by the galaxy-based search algorithm: a novel metaheuristic for continuous optimisation , 2011, Int. J. Comput. Sci. Eng..
[8] D. Moher,et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. , 2009, Journal of clinical epidemiology.
[9] Yi Pan,et al. TW-Co-MFC: Two-level weighted collaborative fuzzy clustering based on maximum entropy for multi-view data , 2021, Tsinghua Science and Technology.
[10] Manijeh Keshtgari,et al. Termite colony optimization: A novel approach for optimizing continuous problems , 2010, 2010 18th Iranian Conference on Electrical Engineering.
[11] George Lindfield,et al. Bacterial Foraging Inspired Algorithm , 2017 .
[12] Fevrier Valdez,et al. A review of optimization swarm intelligence-inspired algorithms with type-2 fuzzy logic parameter adaptation , 2020, Soft Comput..
[13] ZhengYu-Jun. Water wave optimization , 2015 .
[14] Xin-She Yang,et al. A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.
[15] Fred W. Glover,et al. Tabu Search - Part I , 1989, INFORMS J. Comput..
[16] Hossam Faris,et al. Harris hawks optimization: Algorithm and applications , 2019, Future Gener. Comput. Syst..
[17] Shuzhi Gao,et al. Adaptive cuckoo algorithm with multiple search strategies , 2021, Appl. Soft Comput..
[18] Harish Sharma,et al. Spider Monkey Optimization Algorithm , 2018, Studies in Computational Intelligence.
[19] Marco Dorigo,et al. An Investigation of some Properties of an "Ant Algorithm" , 1992, PPSN.
[20] D. Moher,et al. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement , 2009, BMJ : British Medical Journal.
[21] José Cristóbal Riquelme Santos,et al. Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model , 2020, Big Data.
[22] Zong Woo Geem,et al. A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..
[23] Saeed Behzadipour,et al. The great salmon run: a novel bio-inspired algorithm for artificial system design and optimisation , 2012, Int. J. Bio Inspired Comput..
[24] Zbigniew Michalewicz,et al. Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review , 2017, Evolutionary Computation.
[25] M. Khishe,et al. Chimp optimization algorithm , 2020, Expert Syst. Appl..
[26] Marco Dorigo,et al. Optimization, Learning and Natural Algorithms , 1992 .
[27] M. Aria,et al. Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research , 2020, Social Indicators Research.
[28] Hani Hagras,et al. A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis , 2021, Information Sciences.
[29] Caro Lucas,et al. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.
[30] Debasish Ghose,et al. Glowworm swarm optimisation: a new method for optimising multi-modal functions , 2009, Int. J. Comput. Intell. Stud..
[31] Christian Blum,et al. Distributed graph coloring: an approach based on the calling behavior of Japanese tree frogs , 2010, Swarm Intelligence.
[32] Saeed Gholizadeh,et al. A new Newton metaheuristic algorithm for discrete performance-based design optimization of steel moment frames , 2020 .
[33] M Reyes Sierra,et al. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art , 2006 .
[34] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[35] Dusan Teodorovic,et al. Bee Colony Optimization (BCO) , 2009, Innovations in Swarm Intelligence.
[36] John R. Koza,et al. Genetic programming as a means for programming computers by natural selection , 1994 .
[37] Xin-She Yang,et al. Firefly algorithm, stochastic test functions and design optimisation , 2010, Int. J. Bio Inspired Comput..
[38] Janez Brest,et al. A comprehensive review of firefly algorithms , 2013, Swarm Evol. Comput..
[39] Seyedali Mirjalili,et al. Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems , 2015, Neural Computing and Applications.
[40] Yue Zhang,et al. BeeHive: An Efficient Fault-Tolerant Routing Algorithm Inspired by Honey Bee Behavior , 2004, ANTS Workshop.
[41] Oscar Castillo,et al. A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation , 2014, Expert Syst. Appl..
[42] Min-Rong Chen,et al. An improved bat algorithm hybridized with extremal optimization and Boltzmann selection , 2021, Expert Syst. Appl..
[43] S. Hr. Aghay Kaboli,et al. Rain-fall optimization algorithm: A population based algorithm for solving constrained optimization problems , 2017, J. Comput. Sci..
[44] Xin-She Yang,et al. Flower Pollination Algorithm for Global Optimization , 2012, UCNC.
[45] John H. Holland,et al. Genetic Algorithms and Adaptation , 1984 .
[46] Jing J. Liang,et al. Differential evolution using improved crowding distance for multimodal multiobjective optimization , 2021, Swarm Evol. Comput..
[47] R. Vinodhini,et al. Fuzzy Based Unequal Clustering and Context-Aware Routing Based on Glow-Worm Swarm Optimization in Wireless Sensor Networks: Forest Fire Detection , 2021, Wirel. Pers. Commun..
[48] R. Anitha,et al. MRI Image Segmentation Using Bat Optimization Algorithm with Fuzzy C Means (BOA-FCM) Clustering , 2021, J. Medical Imaging Health Informatics.
[49] Ludo Waltman,et al. Constructing bibliometric networks: A comparison between full and fractional counting , 2016, J. Informetrics.
[50] A. Ebrahimi,et al. Sperm whale algorithm: An effective metaheuristic algorithm for production optimization problems , 2016 .
[51] E. Afjei,et al. Reactive power dispatch using Big Bang-Big Crunch optimization algorithm for voltage stability enhancement , 2012, 2012 IEEE International Conference on Power and Energy (PECon).
[52] Vahideh Hayyolalam,et al. Black Widow Optimization Algorithm: A novel meta-heuristic approach for solving engineering optimization problems , 2020, Eng. Appl. Artif. Intell..
[53] S. Shadravan,et al. The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems , 2019, Eng. Appl. Artif. Intell..
[54] Andrew Lewis,et al. Grasshopper Optimisation Algorithm: Theory and application , 2017, Adv. Eng. Softw..
[55] Keiichiro Yasuda,et al. Primary study of spiral dynamics inspired optimization , 2011 .
[56] Zbigniew Smoreda,et al. Identifying and modeling the structural discontinuities of human interactions , 2015, Scientific Reports.
[57] Jianhua Hou,et al. The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis , 2010, J. Assoc. Inf. Sci. Technol..
[58] Seyed Mohammad Mirjalili,et al. The Ant Lion Optimizer , 2015, Adv. Eng. Softw..
[59] Mohsen Rashki,et al. Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems , 2021, Knowl. Based Syst..
[60] D. Pham,et al. THE BEES ALGORITHM, A NOVEL TOOL FOR COMPLEX OPTIMISATION PROBLEMS , 2006 .
[61] Jialing Tang,et al. Nature-inspired approach: An enhanced whale optimization algorithm for global optimization , 2021, Math. Comput. Simul..
[62] T. Mahalingam,et al. A hybridization of SKH and RKFCM clustering optimization algorithm for efficient moving object exploration , 2021, Multimedia Tools and Applications.
[63] Min-Yuan Cheng,et al. Symbiotic Organisms Search: A new metaheuristic optimization algorithm , 2014 .
[64] Xin-She Yang,et al. Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[65] Ziqian Wang,et al. A gravitational search algorithm with hierarchy and distributed framework , 2021, Knowl. Based Syst..
[66] Zhen Ji,et al. A Fast Bacterial Swarming Algorithm for high-dimensional function optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[67] A. Kaveh,et al. A new optimization method: Dolphin echolocation , 2013, Adv. Eng. Softw..
[68] Asegunloluwa Eunice Babalola,et al. Flower pollination algorithm for data generation and analytics - a diagnostic analysis , 2020 .
[69] Sung Hoon Jung,et al. Queen-bee evolution for genetic algorithms , 2003 .
[70] Ali Kaveh,et al. Water strider algorithm: A new metaheuristic and applications , 2020, Structures.
[71] Pei-wei Tsai,et al. Cat Swarm Optimization , 2006, PRICAI.