ENGLISH

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

By Pallab Dasgupta , P. P. Chakrabarti , S. C. DeSarkar (auth.)

Book information

Publisher
Vieweg+Teubner Verlag
Year
1999
ISBN
978-3-528-05708-4, 978-3-322-86853-4
DOI
10.1007/978-3-322-86853-4
Language
english
Format
PDF
Filesize
4 MB (4494391 bytes)
Series
Computational Intelligence
Edition
1
Pages
134\141
Time added
2013-12-12 02:00:00
Computer Sciencegeneral

Description

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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