Industrial Applications of Evolutionary Algorithms

This book is intended as a reference both for experienced users of evolutionary algorithms and for researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, and advice on solving issues related to fit...

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Detalles Bibliográficos
Autores principales: Sanchez, Ernesto, Squillero, Giovanni, Tonda, Alberto
Lenguaje:eng
Publicado: Springer 2012
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-27467-1
http://cds.cern.ch/record/1486707
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author Sanchez, Ernesto
Squillero, Giovanni
Tonda, Alberto
author_facet Sanchez, Ernesto
Squillero, Giovanni
Tonda, Alberto
author_sort Sanchez, Ernesto
collection CERN
description This book is intended as a reference both for experienced users of evolutionary algorithms and for researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, and advice on solving issues related to fitness computation, modeling and setting appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of all evolutionary algorithms exploited to solve different problems. The book could fill the gap between the
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
publisher Springer
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spelling cern-14867072021-04-22T00:16:09Zdoi:10.1007/978-3-642-27467-1http://cds.cern.ch/record/1486707engSanchez, ErnestoSquillero, GiovanniTonda, AlbertoIndustrial Applications of Evolutionary AlgorithmsEngineeringThis book is intended as a reference both for experienced users of evolutionary algorithms and for researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, and advice on solving issues related to fitness computation, modeling and setting appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of all evolutionary algorithms exploited to solve different problems. The book could fill the gap between the"Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems. The collection of case studies presented is also extremely appealing for anyone interested in Evolutionary Computation, but without direct access to extensive technical literature on the subject. After the introduction, each chapter in the book presents a test case, and is organized so that it can be read independently from the rest: all the information needed to understand the problem and the approach is reported in each part. Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation. The authors hope that this volume will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them; and that, most of all, you will enjoy your reading.Springeroai:cds.cern.ch:14867072012
spellingShingle Engineering
Sanchez, Ernesto
Squillero, Giovanni
Tonda, Alberto
Industrial Applications of Evolutionary Algorithms
title Industrial Applications of Evolutionary Algorithms
title_full Industrial Applications of Evolutionary Algorithms
title_fullStr Industrial Applications of Evolutionary Algorithms
title_full_unstemmed Industrial Applications of Evolutionary Algorithms
title_short Industrial Applications of Evolutionary Algorithms
title_sort industrial applications of evolutionary algorithms
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-27467-1
http://cds.cern.ch/record/1486707
work_keys_str_mv AT sanchezernesto industrialapplicationsofevolutionaryalgorithms
AT squillerogiovanni industrialapplicationsofevolutionaryalgorithms
AT tondaalberto industrialapplicationsofevolutionaryalgorithms

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