[PDF.65ld] 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 (Computational Intelligence)
Pallab Dasgupta, P. P. Chakrabarti, S. C. DeSarkar
[PDF.sk51] Multiobjective Heuristic Search: An Introduction to intelligent Search Methods for Multicriteria Optimization (Computational Intelligence)
Multiobjective Heuristic Search: An Pallab Dasgupta, P. P. Chakrabarti, S. C. DeSarkar epub Multiobjective Heuristic Search: An Pallab Dasgupta, P. P. Chakrabarti, S. C. DeSarkar pdf download Multiobjective Heuristic Search: An Pallab Dasgupta, P. P. Chakrabarti, S. C. DeSarkar pdf file Multiobjective Heuristic Search: An Pallab Dasgupta, P. P. Chakrabarti, S. C. DeSarkar audiobook Multiobjective Heuristic Search: An Pallab Dasgupta, P. P. Chakrabarti, S. C. DeSarkar book review Multiobjective Heuristic Search: An Pallab Dasgupta, P. P. Chakrabarti, S. C. DeSarkar summary
| #13635426 in Books | 1999-06-29 | 1999-06-29 | Original language:German | PDF # 1 | 9.61 x.34 x6.69l,.54 | File type: PDF | 134 pages||From the Back Cover|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, ti
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 f...
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