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Multiobjective Heuristic Search: An Introduction to Intelligent Search Methods for Multicriteria Optimization (Computational Intelligence) - Tapa blanda
Sinopsis
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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Assistant Professor Dr. Pallab Dasgupta, Associate Professor Dr. P.P. Chakrabarti and Professor Dr. S. C. DeSarkar are at the Department of Computer Science & Engineering at the Indian Institute of Technology Kharagpur, INDIA 721302
De la contraportada
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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Multiobjective Heuristic Search 1999
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Multiobjective Heuristic Search: An Introduction To Intelligent Search Methods For Multicriteria Optimization (Pb)
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Vieweg+Teubner Verlag, 1999
ISBN 10: 3528057084
ISBN 13: 9783528057084
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Multiobjective Heuristic Search
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Multiobjective Heuristic Search: An Introduction To Intelligent Search Methods For Multicriteria Optimization (Pb)
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Vieweg+Teubner Verlag, 1999
ISBN 10: 3528057084
ISBN 13: 9783528057084
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Multiobjective Heuristic Search
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Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 1999
ISBN 10: 3528057084
ISBN 13: 9783528057084
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Multiobjective Heuristic Search: An Introduction to intelligent Search Methods for Multicriteria Optimization (Computational Intelligence)
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Multiobjective Heuristic Search
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Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 1999
ISBN 10: 3528057084
ISBN 13: 9783528057084
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Multiobjective Heuristic Search An Introduction to Intelligent Search Methods for Multicriteria Optimization Computational Intelligence
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Multiobjective Heuristic Search : An Introduction to intelligent Search Methods for Multicriteria Optimization
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ISBN 10: 3528057084
ISBN 13: 9783528057084
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Multiobjective Heuristic Search: An Introduction To Intelligent Search Methods For Multicriteria Optimization (Pb)
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