By Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego Alberto Oliva Navarro
The objective of this publication 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 numerous advanced difficulties. The ebook has been based in order that every 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 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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