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Titlebook: Evolutionary Optimization in Dynamic Environments; Jürgen Branke Book 2002 Springer Science+Business Media New York 2002 Adaptation Cost.E

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發(fā)表于 2025-3-21 16:23:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Evolutionary Optimization in Dynamic Environments
編輯Jürgen Branke
視頻videohttp://file.papertrans.cn/318/317995/317995.mp4
叢書名稱Genetic Algorithms and Evolutionary Computation
圖書封面Titlebook: Evolutionary Optimization in Dynamic Environments;  Jürgen Branke Book 2002 Springer Science+Business Media New York 2002 Adaptation Cost.E
描述Evolutionary Algorithms (EAs) have grown into a mature field ofresearch in optimization, and have proven to be effective and robustproblem solvers for a broad range of static real-world optimizationproblems. Yet, since they are based on the principles of naturalevolution, and since natural evolution is a dynamic process in achanging environment, EAs are also well suited to dynamic optimizationproblems. .Evolutionary Optimization in Dynamic Environments. isthe first comprehensive work on the application of EAs to dynamicoptimization problems. It provides an extensive survey on research inthe area and shows how EAs can be successfully used to .. continuously and efficiently adapt a solution to a changingenvironment, .. find a good trade-off between solution quality andadaptation cost, .. find robust solutions whose quality isinsensitive to changes in the environment, .. find flexiblesolutions which are not only good but that can be easily adapted whennecessary. .. All four aspects are treated in this book, providing a holistic viewon the challenges and opportunities when applying EAs to dynamicoptimization problems. The comprehensive and up-to-date coverage ofthe subject, together wi
出版日期Book 2002
關(guān)鍵詞Adaptation Cost; Evolutionary Algorithms (EAs); Robust Solutions; algorithms; evolution; evolutionary alg
版次1
doihttps://doi.org/10.1007/978-1-4615-0911-0
isbn_softcover978-1-4613-5300-3
isbn_ebook978-1-4615-0911-0Series ISSN 1568-2587
issn_series 1568-2587
copyrightSpringer Science+Business Media New York 2002
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Advanced Execution Plan ConceptsWhenever a change in a dynamic optimization problem occurs i.e. when the optimization goal, the problem instance, or some restrictions change, the optimum to that problem might change as well. If this is the case, an adaptation of the old solution is necessary.
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Brief Introduction to Evolutionary AlgorithmsEvolutionary algorithms are randomized heuristic search methods based on the principles of natural evolution, or more specifically, on Darwin’s theory of survival of the fittest.
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Optimization in Dynamic EnvironmentsWhenever a change in a dynamic optimization problem occurs i.e. when the optimization goal, the problem instance, or some restrictions change, the optimum to that problem might change as well. If this is the case, an adaptation of the old solution is necessary.
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978-1-4613-5300-3Springer Science+Business Media New York 2002
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