This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in M???nster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or ...
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This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in M???nster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.
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Add this copy of Evolutionary Multi-Criterion Optimization: 9th to cart. $62.76, new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2017 by Springer International Publishing AG.
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New. Contains: Illustrations, black & white. Lecture Notes in Computer Science ; Theoretical Computer Science and General Issues . XIV, 702 p. 267 illus. Intended for professional and scholarly audience.
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New. Print on demand Contains: Illustrations, black & white. Theoretical Computer Science and General Issues ; Lecture Notes in Computer Science . XIV, 702 p. 267 illus. Intended for professional and scholarly audience.
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