By Konstantinos E. Parsopoulos;Michael N. Vrahatis
Particle Swarm Optimization and Intelligence: Advances and functions examines glossy clever optimization algorithms confirmed as very effective in functions from a variety of clinical and technological fields. supplying unusual and distinctive examine, this leading edge book bargains a compendium of best box reviews in addition to theoretical analyses and complementary suggestions necessary to academicians and practitioners.
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The parameters of the employed distributions have a severe impact on the quality of descendants produced by the mutation operator. For this purpose, evolution strategies incorporate a self-adaptation scheme for their parameters. More recent approaches also consider independent adaptation of each solution component, adding flexibility to the algorithm. These characteristics render evolution strategies a more appealing approach for solving numerical optimization problems than the evolutionary algorithms presented in previous sections (Beyer, 2001; Beyer & Schwefel, 2002; Hansen & Ostermeier, 2001; Schwefel, 1995).
2003). Discrete optimization: The state of the art. Amsterdam: Elsevier Science. 20 Introduction Branke, J. (2002). Evolutionary optimization in dynamic environments. Dordrecht, The Netherlands: Kluwer Academic Publishers. Bremermann, H. J. (1962). Optimization through evolution and recombination. C. T. D. ), Self-organizing systems 1962 (Proceedings of the conference on selforganizing systems, Chicago, Illinois). Washington, DC: Spartan Books. Cavicchio, D. J. (1970). Adaptive search using simulated evolution.
Fogel, D. , Fogel, L. , & Porto, V. W. (1990). Evolving neural networks. Biological Cybernetics, 63(6), 487–493. 1007/BF00199581 Fogel, L. J. (1962). Autonomous automata. Industrial Research, 4, 14–19. Fogel, L. J. (1964). On the organization of intellect. D. thesis, University of California at Los Angeles, USA. Fogel, L. , Owens, A. , & Walsh, M. J. (1964). On the evolution of artificial intelligence. In Proceedings of the 5th National Symposium on Human Factors and Electronics, San Diego (CA) USA (pp.