Heuristics for Optimization and Learning (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 906
Release date:	December 2021
First published:	2021
Editors:	Farouk Yalaoui • Lionel Amodeo • El--Ghazali Talbi
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	442
Edition:	1st ed. 2021
ISBN-13:	978-3-03-058932-5
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-058932-3
Barcode:	9783030589325

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