By Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego Alberto Oliva Navarro
The aim of this e-book 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 a number of complicated difficulties. The booklet has been based in order that each one chapter
can be learn independently from the others. The publication includes 9 chapters with
the following issues: 1) advent, 2) the Social Spider Optimization (SSO),
3) the States of subject seek (SMS), four) the collective animal habit (CAB)
algorithm, five) the Allostatic Optimization (AO) strategy, 6) the Locust Search
(LS) set of rules, 7) the Adaptive inhabitants with lowered reviews (APRE)
method, eight) the multimodal CAB, nine) the limited SSO method.
Read or Download Advances of Evolutionary Computation: Methods and Operators (Studies in Computational Intelligence) PDF
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Additional 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