Advances of Evolutionary Computation: Methods and Operators (Studies in Computational Intelligence, #629)

by Erik Cuevas, Margarita-Arimatea Diaz-Cortes, and Diego Alberto Oliva Navarro

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Book cover for Advances of Evolutionary Computation: Methods and Operators

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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.

  • ISBN13 9783319285023
  • Publish Date 8 February 2016
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer International Publishing AG
  • Edition 1st ed. 2016
  • Format Hardcover
  • Pages 202
  • Language English