By Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego Alberto Oliva Navarro
The aim of this booklet 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 e-book has been based in order that each one chapter
can be learn independently from the others. The publication includes 9 chapters with
the following topics: 1) advent, 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) process, 6) the Locust Search
(LS) set of rules, 7) the Adaptive inhabitants with decreased reviews (APRE)
method, eight) the multimodal CAB, nine) the limited SSO method.
Read Online 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