Multiobjective Heuristic Search : An Introduction to intelligent Search Methods for Multicriteria Optimization - Pallab Dasgupta

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Multiobjective Heuristic Search

An Introduction to intelligent Search Methods for Multicriteria Optimization

By: Pallab Dasgupta, Wolfgang Bibel, Rudolf Kruse

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Paperback | 29 June 1999 | Edition Number 1999

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148 Pages

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24.77 x 17.15 x 1.27

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Solutions to most real-world optimization problems involve a trade-off between multiple conflicting and non-commensurate objectives. Some of the most challenging ones are area-delay trade-off in VLSI synthesis and design space exploration, time-space trade-off in computation, and multi-strategy games. Conventional search techniques are not equipped to handle the partial order state spaces of multiobjective problems since they inherently assume a single scalar objective function. Multiobjective heuristic search techniques have been developed to specifically address multicriteria combinatorial optimization problems. This text describes the multiobjective search model and develops the theoretical foundations of the subject, including complexity results . The fundamental algorithms for three major problem formulation schemes, namely state-space formulations, problem-reduction formulations, and game-tree formulations are developed with the support of illustrative examples. Applications of multiobjective search techniques to synthesis problems in VLSI, and operations research are considered. This text provides a complete picture on contemporary research on multiobjective search, most of which is the contribution of the authors.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Engineering & Technology Electronics & Communications Engineering Electronics Engineering Circuits & Components Computer Programming & Software Development

Introduction	p. 1
The Multiobjective Search Model	p. 9
Multiobjective State Space Search	p. 19
Applications of Multiobjective Search	p. 49
Multiobjective Problem Reduction Search	p. 75
Multiobjective Game Tree Search	p. 97
Conclusion	p. 119
The outline of algorithm MOMA	p. 125
Bibliography	p. 127
Table of Contents provided by Blackwell. All Rights Reserved.

Multiobjective Heuristic Search

An Introduction to intelligent Search Methods for Multicriteria Optimization

At a Glance

Paperback

Shipping

How to return your order

Defective items

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