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Advances of Evolutionary Computation Methods and Operators Book PDF Summary

The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structured so that each chapter can be read independently from the others. The book contains nine chapters with the following themes: 1) Introduction, 2) the Social Spider Optimization (SSO), 3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB) algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search (LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE) method, 8) the multimodal CAB, 9) the constrained SSO method.

Detail Book of Advances of Evolutionary Computation Methods and Operators PDF

Advances of Evolutionary Computation  Methods and Operators
  • Author : Erik Cuevas
  • Release : 20 January 2016
  • Publisher : Springer
  • ISBN : 9783319285030
  • Genre : Technology & Engineering
  • Total Page : 214 pages
  • Language : English
  • PDF File Size : 11,5 Mb

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