Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
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Table of contents (18 chapters)
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Front Matter
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Introduction: Problem Solving, EC and EMO
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Front Matter
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Exploiting Multiple Objectives: From Problems to Solutions
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Front Matter
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Machine Learning with Multiple Objectives
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Front Matter
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Multiple Objectives in Design and Engineering
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Front Matter
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Scaling up Multiobjective Optimization
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Front Matter
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About this book
Multiobjective problems involve several competing measures of solution quality, and multiobjective evolutionary algorithms (MOEAs) and multiobjective problem solving have become important topics of research in the evolutionary computation community over the past 10 years. This is an advanced text aimed at researchers and practitioners in the area of search and optimization.
The book focuses on how MOEAs and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concepts of multiobjective optimization can be used to reformulate and resolve problems in broad areas such as constrained optimization, coevolution, classification, inverse modelling and design. The book is distinguished from other texts on MOEAs in that it is not primarily about the algorithms, nor specific applications, but about the concepts and processes involved in solving problems using a multiobjective approach. Each chapter contributes to the central, deep concepts and themes of the book: evaluating the utility of the multiobjective approach; discussing alternative problem formulations; showing how problem formulation affects the search process; and examining solution selection and decision making.
The book will be of benefit to researchers, practitioners and graduate students engaged with optimization-based problem solving. For multiobjective optimization experts, the book is an up-to-date account of emerging and advanced topics; for others, the book indicates how the multiobjective approach can lead to fresh insights.
Editors and Affiliations
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Manchester Interdisciplinary Biocentre, University of Manchester, Manchester, UK
Joshua Knowles
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Room G39 Earl Mountbatten Building, Heriot-Watt University, Edinburgh EH14 4AS, UK
David Corne
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Dept. of Business Technology, Helsinki School of Economics, FIN-00101 Helsinki, Finland
Kalyanmoy Deb
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Dept. of Mechanical Engineering, Indian Institute of Technology Kanpur, India
Kalyanmoy Deb
Bibliographic Information
Book Title: Multiobjective Problem Solving from Nature
Book Subtitle: From Concepts to Applications
Editors: Joshua Knowles, David Corne, Kalyanmoy Deb
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-540-72964-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-72963-1Published: 05 December 2007
Softcover ISBN: 978-3-662-50119-1Published: 23 August 2016
eBook ISBN: 978-3-540-72964-8Published: 15 November 2007
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XVI, 411
Topics: Artificial Intelligence, Optimization, Engineering Design, Theory of Computation