By Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego Alberto Oliva Navarro
The target of this publication is to
present advances that debate replacement Evolutionary Computation (EC) developments
and non-conventional operators that have proved to be eﬀective within the solution
of numerous advanced difficulties. The ebook has been dependent in order that each one chapter
can be learn independently from the others. The booklet includes 9 chapters with
the following issues: 1) creation, 2) the Social Spider Optimization (SSO),
3) the States of topic seek (SMS), four) the collective animal habit (CAB)
algorithm, five) the Allostatic Optimization (AO) approach, 6) the Locust Search
(LS) set of rules, 7) the Adaptive inhabitants with diminished reviews (APRE)
method, eight) the multimodal CAB, nine) the restricted SSO method.
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Extra resources for Advances of Evolutionary Computation: Methods and Operators (Studies in Computational Intelligence)
Advances of Evolutionary Computation: Methods and Operators (Studies in Computational Intelligence) by Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego Alberto Oliva Navarro