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On the Foundations and the Applications of Evolutionary Computing
2013Genetic type particle methods are increasingly used to sample from complex high-dimensional distributions. They have found a wide range of applications in applied probability, Bayesian statistics, information theory, and engineering sciences. Understanding rigorously these new Monte Carlo simulation tools leads to fascinating mathematics related to ...
Pierre del Moral +3 more
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Medical Applications of Evolutionary Computation
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2014The application of genetic and evolutionary computation to problems in medicine has increased rapidly over the past five years, but there are specific issues and challenges that distinguish it from other real-world applications. Obtaining reliable and coherent patient data, establishing the clinical need and demonstrating value in the results obtained ...
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A perspective on evolutionary computation
1995During the last three decades there has been a growing interest in algorithms which rely on analogies to natural processes. The emergence of massively parallel computers made these algorithms of practical interest. The best known algorithms in this class include evolutionary programming, genetic algorithms, evolution strategies, simulated annealing ...
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Fuzzy Evolutionary Computation
1997Editor's Preface. Part 1: Fundamentals. 1.1. Evolutionary Algorithms Z. Michalewicz, et al. 1.2. On the Combination of Fuzzy Logic And Evolutionary Computation: A Short Review and Bibliography O. Cordon, et al. 1.3. Fuzzy/Multiobjective Genetic Systems for Intelligent Systems Design Tools and Components M.A. Lee, H. Esbensen.
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Introduction to Evolutionary Computation
2012In this chapter we discuss biological evolution, and the way it has evolved the organisms and structures that we see around us today. We then extract the essentials of this natural stochastic search method, and discuss how one could implement the same, or an even more efficient version, in software.
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