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Heuristics and Metaheuristics for Heavily Constrained Hybrid Flowshop Problems限量搶購

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Heuristics and Metaheuristics for Heavily Constrained Hybrid Flowshop Problems


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This PhD thesis from Urlings (currently, innovations and public sector efficiency, Delft U. of Technology, The Netherlands) addresses the gap between machine scheduling literature and scheduling in real-world production environments. The author explores the hybrid flexible flow line problem, mathematical models and heuristics, genetic and local search algorithms, multi-objective scheduling, and related topics. An extended bibliography is included. There is no subject index. Annotation 穢2011 Book News, Inc., Portland, OR (booknews.com)
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美金:73.00
Heuristics and Metaheuristics for Heavily Constrained Hybrid Flowshop Problems

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