Titlebook: Evolutionary Computation Techniques: A Comparative Perspective; Erik Cuevas,Valentín Osuna,Diego Oliva Book 2017 Springer International Pu

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978-3-319-84568-5Springer International Publishing AG, part of Springer Nature 2017

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Evolutionary Computation Techniques: A Comparative Perspective978-3-319-51109-2Series ISSN 1860-949X Series E-ISSN 1860-9503

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Introduction,way that it is clear the necessity of using evolutionary optimization methods for the solution of complex problems present in engineering. The chapter also gives an introduction to the optimization techniques, considering their main characteristics.

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Book 2017 a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.

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Jürgen L?ffelholz,Frank-Michael Dittesevolved through the Artificial Bee Colony (ABC) algorithm so the best candidate (global optimum) can be fitted into an actual circle within the edge-only image. An analysis of the incorporated exhausted-sources memory is executed in order to identify potential local optima i.e. other circles. The ov

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