Advances of Evolutionary Computation: Methods and Operators
(Sprache: Englisch)
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 e ective in the solution of several complex problems. The book has been structured so...
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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 e ective 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.
Inhaltsverzeichnis zu „Advances of Evolutionary Computation: Methods and Operators “
Introduction.- A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States ofMatter Algorithm for Global Optimization.- An Algorithm for Global Optimization Inspiredby Collective Animal Behavior.- A Bio-inspired Evolutionary Algorithm: AllostaticOptimization.- Optimization Based on the Behavior of Locust Swarms.Bibliographische Angaben
- Autoren: Erik Cuevas , Margarita Arimatea Díaz Cortés , Diego Alberto Oliva Navarro
- 2018, Softcover reprint of the original 1st ed. 2016, XIV, 202 Seiten, 5 farbige Abbildungen, Maße: 15,7 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319803662
- ISBN-13: 9783319803661
Sprache:
Englisch
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