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Titlebook: Designing Evolutionary Algorithms for Dynamic Environments; Ronald W. Morrison Textbook 2004 Springer-Verlag Berlin Heidelberg 2004 Adapti

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楼主: 果园
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Textbook 2004performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre­ viously unknown relations
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1619-7127 ave superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre­ viously unknown relations978-3-642-05952-0978-3-662-06560-0Series ISSN 1619-7127 Series E-ISSN 2627-6461
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Farzam Farbiz,Mohammad Bagher Menhajthe unexplored solution space to identify promising areas containing solutions better than those found so far. Identification of the appropriate balance of exploitation of the best solutions and further exploration of the solution space have been the focus of much research in the EA community.
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Akira Nakamura,Azriel Rosenfeldn be designed to respond properly to unexpected control inputs. This chapter explores a few dynamic adaptation techniques used in biological systems and control engineering to examine opportunities for incorporation of their techniques into EA models and theory.
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On Fuzzy Optimization Foundatione performance of EAs in dynamic environments. Analysis of these experimental results will assist in identification of the attributes of the sentinel-based EA that alter the performance of the EA, and suggest general methods for improving EA performance in dynamic landscapes.
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On Fuzzy Optimization Foundatione some alternative metrics for standardized reporting of EA performance in dynamic environments, and, finally, we will provide a method for collecting additional dynamic information about EA performance.
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