By Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego Alberto Oliva Navarro
The objective 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 advanced difficulties. The ebook has been established in order that each one chapter
can be learn independently from the others. The e-book comprises 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) procedure, 6) the Locust Search
(LS) set of rules, 7) the Adaptive inhabitants with lowered reviews (APRE)
method, eight) the multimodal CAB, nine) the restricted SSO method.
Read or Download Advances of Evolutionary Computation: Methods and Operators (Studies in Computational Intelligence) PDF
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