Bioinspired Heuristics for Optimization von Amir (Hrsg.) Nakib

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ISBN: 978-3-030-06978-0
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This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.

AutorNakib, Amir (Hrsg.) / Talbi, El-Ghazali (Hrsg.)
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2018
Seitenangabe324 S.
LieferstatusFolgt in ca. 5 Arbeitstagen
AusgabekennzeichenEnglisch
AbbildungenPaperback
MasseH23.5 cm x B15.5 cm x D1.8 cm 493 g
AuflageSoftcover reprint of the original 1st ed. 2019
ReiheStudies in Computational Intelligence
VerlagSpringer International Publishing

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