Contemporary Evolution Strategies
2013·104 pages
An in-depth look at evolution strategies in computing, focusing on algorithmic advancements from 1990 to 2012.
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An in-depth look at evolution strategies in computing, focusing on algorithmic advancements from 1990 to 2012.
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Evolution strategies have more than 50 years of history in the field of evolutionary computation. Since the early 1990s, many algorithmic variations of evolution strategies have been developed, characterized by the fact that they use the so-called derandomization concept for strategy parameter adaptation. Most importantly, the covariance matrix adaptation strategy (CMA-ES) and its successors are the key representatives of this group of contemporary evolution strategies. This book provides an ove...
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