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Title Multiobjective problem solving from nature : from concepts to applications / Joshua Knowles, David Corne, Kalyanmoy Deb, eds.
Imprint Berlin : Springer, 2008.

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Series Natural computing series
Natural computing series.
Subject Evolutionary computation.
Evolutionary programming (Computer science)
Alt Name Knowles, Joshua (Joshua D.)
Corne, David.
Deb, Kalyanmoy.
Description 1 online resource (xvi, 409 pages) : illustrations (some color).
polychrome rdacc
Bibliography Note Includes bibliographical references and index.
Summary "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 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 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 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."--Jacket.
Contents Front Matter; Introduction: Problem Solving, EC and EMO; Multiobjective Optimization and Coevolution; Constrained Optimization via Multiobjective Evolutionary Algorithms; Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms; Computational Studies of Peptide and Protein Structure Prediction Problems via Multiobjective Evolutionary Algorithms; Can Single-Objective Optimization Profit from Multiobjective Optimization?; Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Pareto Set and for Decision Making; Multiobjective Supervised Learning.
Note Print version record.
ISBN 9783540729648
OCLC # 261325332
Additional Format Print version: Multiobjective problem solving from nature. Berlin : Springer, 2008 9783540729631 3540729631 (OCoLC)166357865

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