Title: Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization Wco 2019
Publisher: Springer
Publication Date: 2020
Language: English
ISBN 10: 3030588831
ISBN 13: 9783030588830
Binding: Hardcover
Condition: Very Good
Dust Jacket Condition: No Jacket

About this title

Synopsis

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.

From the Back Cover

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.

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.

"About this title" may belong to another edition of this title.

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