By Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego Alberto Oliva Navarro
The objective of this booklet is to
present advances that debate substitute Evolutionary Computation (EC) developments
and non-conventional operators that have proved to be eﬀective within the solution
of a number of advanced difficulties. The ebook has been dependent in order that each one chapter
can be learn independently from the others. The ebook 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) process, 6) the Locust Search
(LS) set of rules, 7) the Adaptive inhabitants with decreased reviews (APRE)
method, eight) the multimodal CAB, nine) the restricted SSO method.
Read Online or Download Advances of Evolutionary Computation: Methods and Operators (Studies in Computational Intelligence) PDF
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