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Titlebook: Introduction to Evolutionary Computing; A.E. Eiben,J.E. Smith Textbook 2015Latest edition Springer-Verlag GmbH Germany, part of Springer N

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Parameter Controlow to do this . a run of an EA, in other words, we elaborate on controlling EA parameters on-the-fly. This has the potential of adjusting the algorithm to the problem while solving the problem. We provide a classification of different approaches based on a number of complementary features and presen
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Nonstationary and Noisy Function Optimisationitness of a solution more than once, we will not always get the same result. Of course, biological evolution happens in just such a dynamic environment, but there are also many EA applications in environments featuring change or noise when solutions are evaluated. In these . situations the search al
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