Bat-inspired algorithms with natural selection mechanisms for global optimization
暂无分享,去创建一个
Hossam Faris | Xin-She Yang | Mohammed Azmi Al-Betar | Mohammed A. Awadallah | Ahamad Tajudin Abdul Khader | Osama Ahmad Alomari | Xin-She Yang | A. Khader | M. Al-Betar | M. Awadallah | Hossam Faris | O. Alomari
[1] Marcus Gallagher,et al. Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA , 2005, 2005 IEEE Congress on Evolutionary Computation.
[2] Saku Kukkonen,et al. Real-parameter optimization with differential evolution , 2005, 2005 IEEE Congress on Evolutionary Computation.
[3] Thomas Stützle,et al. Ant Colony Optimization , 2009, EMO.
[4] Taher Niknam,et al. A new intelligent online fuzzy tuning approach for multi-area load frequency control: Self Adaptive Modified Bat Algorithm , 2015 .
[5] Selim Yilmaz,et al. A new modification approach on bat algorithm for solving optimization problems , 2015, Appl. Soft Comput..
[6] Nikolaus Hansen,et al. A restart CMA evolution strategy with increasing population size , 2005, 2005 IEEE Congress on Evolutionary Computation.
[7] James E. Baker,et al. Adaptive Selection Methods for Genetic Algorithms , 1985, International Conference on Genetic Algorithms.
[8] Xin-She Yang,et al. New directional bat algorithm for continuous optimization problems , 2017, Expert Syst. Appl..
[9] Amir Hossein Gandomi,et al. Bat algorithm for constrained optimization tasks , 2012, Neural Computing and Applications.
[10] Bijaya K. Panigrahi,et al. Exploratory Power of the Harmony Search Algorithm: Analysis and Improvements for Global Numerical Optimization , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[11] Pedro J. Ballester,et al. Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX , 2005, 2005 IEEE Congress on Evolutionary Computation.
[12] Guy Theraulaz,et al. The biological principles of swarm intelligence , 2007, Swarm Intelligence.
[13] Xin-She Yang,et al. Bat Algorithm and Cuckoo Search: A Tutorial , 2013, Artificial Intelligence, Evolutionary Computing and Metaheuristics.
[14] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[15] Adnan Acan,et al. A two-stage memory powered Great Deluge algorithm for global optimization , 2014, Soft Computing.
[16] Xin-She Yang,et al. Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[17] Kalyanmoy Deb,et al. A population-based, steady-state procedure for real-parameter optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.
[18] Adnan Acan,et al. Probability collectives hybridised with differential evolution for global optimisation , 2016, Int. J. Bio Inspired Comput..
[19] Jing J. Liang,et al. A self-adaptive global best harmony search algorithm for continuous optimization problems , 2010, Appl. Math. Comput..
[20] Amir Hossein Gandomi,et al. Chaotic bat algorithm , 2014, J. Comput. Sci..
[21] Xin-She Yang,et al. A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.
[22] Carlos García-Martínez,et al. Hybrid real-coded genetic algorithms with female and male differentiation , 2005, 2005 IEEE Congress on Evolutionary Computation.
[23] Kalyanmoy Deb,et al. Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..
[24] Iztok Fister,et al. Planning the sports training sessions with the bat algorithm , 2015, Neurocomputing.
[25] Manoj Duhan,et al. Bat Algorithm: A Survey of the State-of-the-Art , 2015, Appl. Artif. Intell..
[26] Trong-The Nguyen,et al. Parallel bat algorithm for optimizing makespan in job shop scheduling problems , 2015, Journal of Intelligent Manufacturing.
[27] Gaige Wang,et al. A Bat Algorithm with Mutation for UCAV Path Planning , 2012, TheScientificWorldJournal.
[28] 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.
[29] Mohammed A. Awadallah,et al. Cellular Harmony Search for Optimization Problems , 2013, J. Appl. Math..
[30] Thomas Stützle,et al. Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .
[31] Xin-She Yang,et al. Firefly Algorithms for Multimodal Optimization , 2009, SAGA.
[32] Marco Dorigo. Ant colony optimization , 2004, Scholarpedia.
[33] Hong Wang,et al. Bacterial Colony Optimization , 2012 .
[34] Xin-She Yang,et al. A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest , 2014, Expert Syst. Appl..
[35] Amir Hossein Alavi,et al. Krill herd: A new bio-inspired optimization algorithm , 2012 .
[36] Patrick Siarry,et al. A survey on optimization metaheuristics , 2013, Inf. Sci..
[37] Christian Blum,et al. Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.
[38] André da Motta Salles Barreto,et al. A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming , 2007, Genetic Programming and Evolvable Machines.
[39] Adnan Acan,et al. A tournament-based competitive-cooperative multiagent architecture for real parameter optimization , 2015, Soft Computing.
[40] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[41] David E. Goldberg,et al. Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise , 1996, Evolutionary Computation.
[42] Yu Liu,et al. A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization , 2015, Expert Syst. Appl..
[43] Jing J. Liang,et al. Dynamic multi-swarm particle swarm optimizer with local search , 2005, 2005 IEEE Congress on Evolutionary Computation.
[44] Gaige Wang,et al. A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization , 2013, J. Appl. Math..
[45] Petr Posík,et al. Real-parameter optimization using the mutation step co-evolution , 2005, 2005 IEEE Congress on Evolutionary Computation.
[46] Simon Fong,et al. A Novel Hybrid Self-Adaptive Bat Algorithm , 2014, TheScientificWorldJournal.
[47] A. Kai Qin,et al. Self-adaptive differential evolution algorithm for numerical optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.
[48] Lothar Thiele,et al. A Comparison of Selection Schemes Used in Evolutionary Algorithms , 1996, Evolutionary Computation.
[49] Mohammed A. Awadallah,et al. Novel selection schemes for harmony search , 2012, Appl. Math. Comput..
[50] Francisco Herrera,et al. Adaptive local search parameters for real-coded memetic algorithms , 2005, 2005 IEEE Congress on Evolutionary Computation.
[51] Wei Liu,et al. A novel visual tracking method using bat algorithm , 2016, Neurocomputing.
[52] Lei Wang,et al. Discrete Binary Adaptive Bat Algorithm for RNA Secondary Structure Prediction , 2015 .
[53] Xin-She Yang,et al. Solving hybrid flow shop scheduling problems using bat algorithm , 2013 .
[54] Peter J. B. Hancock,et al. An Empirical Comparison of Selection Methods in Evolutionary Algorithms , 1994, Evolutionary Computing, AISB Workshop.
[55] Mohammed Azmi Al-Betar,et al. β\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\beta$$\end{document}-Hill climbing: an exploratory local search , 2016, Neural Computing and Applications.
[56] Xin-She Yang,et al. Bat algorithm: literature review and applications , 2013, Int. J. Bio Inspired Comput..
[57] Zong Woo Geem,et al. An analysis of selection methods in memory consideration for harmony search , 2013, Appl. Math. Comput..
[58] Anne Auger,et al. Performance evaluation of an advanced local search evolutionary algorithm , 2005, 2005 IEEE Congress on Evolutionary Computation.
[59] Minh-Duy Le,et al. Optimal design of passive power filters based on multi-objective bat algorithm and pareto front , 2015, Appl. Soft Comput..
[60] Thomas Bäck,et al. Selective Pressure in Evolutionary Algorithms: A Characterization of Selection Mechanisms , 1994, International Conference on Evolutionary Computation.
[61] Abdul Razak Hamdan,et al. Multi-population cooperative bat algorithm-based optimization of artificial neural network model , 2015, Inf. Sci..
[62] Kalyanmoy Deb,et al. A Comparative Analysis of Selection Schemes Used in Genetic Algorithms , 1990, FOGA.