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Heuristics for Optimization and Learning

Abstract : This book is a new contribution aiming to give some last research findings in the field of optimization and computing. This work is in the same field target than our two previous books published: “Recent Developments in Metaheuristics” and “Metaheuristics for Production Systems”, books in Springer Series in Operations Research/Computer Science Interfaces. The challenge with this work is to gather the main contribution in three fields, optimization technique for production decision, general development for optimization and computing method and wider spread applications. The number of researches dealing with decision maker tool and optimization method grows very quickly these last years and in a large number of fields. We may be able to read nice and worthy works from research developed in chemical, mechanical, computing, automotive and many other fields.
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https://hal-utt.archives-ouvertes.fr/hal-03261026
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Tuesday, June 15, 2021 - 1:05:40 PM
Last modification on : Tuesday, October 12, 2021 - 3:15:04 AM

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Farouk Yalaoui, Lionel Amodeo, El-Ghazali Talbi. Heuristics for Optimization and Learning. 906, Springer, 2021, Studies in Computational Intelligence (SCI), 978-3-030-58932-5. ⟨10.1007/978-3-030-58930-1⟩. ⟨hal-03261026⟩

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