Advances of Evolutionary Computation: Methods and Operators

Erik Cuevas

ISBN 10: 3319285025 / ISBN 13: 9783319285023

Published by Springer International Publishing Feb 2016, 2016

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -The goal of this book is topresent advances that discuss alternative Evolutionary Computation (EC) developmentsand non-conventional operators which have proved to be e ective in the solutionof several complex problems. The book has been structured so that each chaptercan be read independently from the others. The book contains nine chapters withthe 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. 216 pp. Englisch.

Seller Inventory # 9783319285023

Bibliographic Details

• Title: Advances of Evolutionary Computation: Methods and Operators
• Publisher: Springer International Publishing Feb 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3319285025
• ISBN 13: 9783319285023
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 18D millimeters 241 millimeters width by 160 millimeters height by 18 millimeters depth
• Weight: 494 grams

About this title

Synopsis

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.