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[Studies in Computational Intelligence] Automated Scheduling and Planning Volume 505 || Recent Advances in Evolutionary Algorithms for Job Shop Scheduling

✍ Scribed by Uyar, A. Sima; Ozcan, Ender; Urquhart, Neil


Book ID
121462157
Publisher
Springer Berlin Heidelberg
Year
2013
Weight
366 KB
Category
Article
ISBN
3642393047

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Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in β€œHybri