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Heuristics for optimization and learning

Yalaoui, Farouk.

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Heuristics for optimization and learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Heuristics for optimization and learning/ edited by Farouk Yalaoui, Lionel Amodeo, El-Ghazali Talbi.
other author:	Yalaoui, Farouk.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xv, 442 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Metaheuristics - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-58930-1
ISBN:	9783030589301

Heuristics for optimization and learning
Heuristics for optimization and learning[electronic resource] /edited by Farouk Yalaoui, Lionel Amodeo, El-Ghazali Talbi. - Cham :Springer International Publishing :2021. - xv, 442 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9061860-949X ;. - Studies in computational intelligence ;v.906..

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.

ISBN: 9783030589301

Standard No.: 10.1007/978-3-030-58930-1doiSubjects--Topical Terms:

3488719
Metaheuristics
--Congresses.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Heuristics for optimization and learning
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245 0 0 $a Heuristics for optimization and learning $h [electronic resource] / $c edited by Farouk Yalaoui, Lionel Amodeo, El-Ghazali Talbi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xv, 442 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.906
520 $a 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.
650 0 $a Metaheuristics $v Congresses. $3 3488719
650 0 $a CAD/CAM systems $x Congresses. $3 668662
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Optimization. $3 891104
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Yalaoui, Farouk. $3 2179360
700 1 $a Amodeo, Lionel. $3 2179361
700 1 $a Talbi, El-Ghazali. $3 2179359
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v.906. $3 3488718
856 4 0 $u https://doi.org/10.1007/978-3-030-58930-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)