Recent Advances in Computational Optimization

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106,99 

Results of the Workshop on Computational Optimization WCO 2019, Studies in Computational Intelligence 920

ISBN: 3030588866
ISBN 13: 9783030588861
Herausgeber: Stefka Fidanova
Verlag: Springer Verlag GmbH
Umfang: x, 199 S., 34 s/w Illustr., 56 farbige Illustr., 199 p. 90 illus., 56 illus. in color.
Erscheinungsdatum: 30.11.2021
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert

This book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019.Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many realworld and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, wildfire and flood risk modeling, workforce planning, parameter settings for controlling different processes, optimal electrical vehicle modeling, bioreactor modeling and design of VLSI. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.

Artikelnummer: 3039773 Kategorie:

Beschreibung

This book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019.Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit.Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, wildfire and flood risk modeling, workforce planning, parameter settings for controlling different processes, optimal electrical vehicle modeling, bioreactor modeling and design of VLSI.It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics andother domains can be formulated as optimization problems.

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E-Mail: juergen.hartmann@springer.com

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