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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 sol… Mehr…
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1, ISBN: 9783319285030
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 sol… Mehr…
Erik Cuevas; Margarita Arimatea DÃaz Cortés; Diego Alberto Oliva Navarro:
Advances of Evolutionary Computation: Methods and Operators - neues BuchISBN: 9783319285030
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 eï¬?ective in the s… Mehr…
ISBN: 9783319285030
Advances of Evolutionary Computation: Methods and Operators: ab 96.49 € eBooks > Sachthemen & Ratgeber > Computer & Internet Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
ISBN: 9783319285030
; PDF; Computing > Computer science > Artificial intelligence, Springer Berlin Heidelberg
ISBN: 9783319285030
eBooks > Sachthemen Ratgeber > Computer Internet
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Detailangaben zum Buch - Advances of Evolutionary Computation: Methods and Operators
EAN (ISBN-13): 9783319285030
Erscheinungsjahr: 1
Herausgeber: Wiley
Buch in der Datenbank seit 2017-04-14T22:37:16+02:00 (Zurich)
Detailseite zuletzt geändert am 2023-06-08T20:07:53+02:00 (Zurich)
ISBN/EAN: 9783319285030
ISBN - alternative Schreibweisen:
978-3-319-28503-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: holm altenbach
Daten vom Verlag:
Autor/in: Erik Cuevas; Margarita Arimatea Díaz Cortés; Diego Alberto Oliva Navarro
Titel: Studies in Computational Intelligence; Advances of Evolutionary Computation: Methods and Operators
Verlag: Springer; Springer International Publishing
202 Seiten
Erscheinungsjahr: 2016-01-20
Cham; CH
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XIV, 202 p. 48 illus., 5 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Computational Intelligence; Evolutionary Computation; Swarm algorithms; Metaheuristics; Artificial Intelligence; B; Computational Intelligence; Artificial Intelligence; Engineering; BB
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.
Introduction.- A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States of Matter Algorithm for Global Optimization.- An Algorithm for Global Optimization Inspired by Collective Animal Behavior.- A Bio-inspired Evolutionary Algorithm: Allostatic Optimization.- Optimization Based on the Behavior of Locust Swarms.
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.
Discusses recent advances and alternative developments in Evolutionary Computation Highlights nonconventional operators which prove to be effective in adapting a determined EC method to a specific problem Consists of self-contained chapters that can be read independently from the others Includes supplementary material: sn.pub/extras
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