Hybrid ICA-PSO algorithm for continuous optimization
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Abdellatif Miraoui | Patrick Siarry | Lhassane Idoumghar | Robin Roche | Nicolas Chérin | P. Siarry | A. Miraoui | L. Idoumghar | R. Roche | N. Chérin
[1] David Corne,et al. The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[2] Bo Liu,et al. Improved particle swarm optimization combined with chaos , 2005 .
[3] 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.
[4] Marco Dorigo,et al. Distributed Optimization by Ant Colonies , 1992 .
[5] Caro Lucas,et al. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.
[6] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[7] Qingfu Zhang,et al. Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition , 2009 .
[8] Antonio J. Nebro,et al. jMetal: A Java framework for multi-objective optimization , 2011, Adv. Eng. Softw..
[9] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[10] Ling Wang,et al. An effective co-evolutionary particle swarm optimization for constrained engineering design problems , 2007, Eng. Appl. Artif. Intell..
[11] Han Huang,et al. A Particle Swarm Optimization Algorithm with Crossover Operator , 2007, 2007 International Conference on Machine Learning and Cybernetics.
[12] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[13] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[14] Carlos A. Coello Coello,et al. Use of a self-adaptive penalty approach for engineering optimization problems , 2000 .
[15] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[16] Prospero C. Naval,et al. An effective use of crowding distance in multiobjective particle swarm optimization , 2005, GECCO '05.
[17] Carlos A. Coello Coello,et al. An empirical study about the usefulness of evolution strategies to solve constrained optimization problems , 2008, Int. J. Gen. Syst..
[18] Carlos A. Coello Coello,et al. Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance , 2005, EMO.
[19] Xiaodong Li,et al. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization , 2003, GECCO.
[20] Hao Chen,et al. Parallel Simulated Annealing and Genetic Algorithms: a Space of Hybrid Methods , 1994, PPSN.
[21] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[22] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[23] Carlos A. Coello Coello,et al. Constraint-handling in genetic algorithms through the use of dominance-based tournament selection , 2002, Adv. Eng. Informatics.
[24] Siamak Talatahari,et al. IMPERIALIST COMPETITIVE ALGORITHM FOR ENGINEERING DESIGN PROBLEMS , 2010 .