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Recent advances in computational opt...

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Recent advances in computational optimizationresults of the Workshop on Computational Optimization WCO 2019 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in computational optimizationedited by Stefka Fidanova.
Reminder of title:	results of the Workshop on Computational Optimization WCO 2019 /
remainder title:	WCO 2019
other author:	Fidanova, Stefka.
corporate name:
Published:	Cham :Springer International Publishing :2021.
Description:	x, 199 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Combinatorial optimizationCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-58884-7
ISBN:	9783030588847$q(electronic bk.)

Recent advances in computational optimizationresults of the Workshop on Computational Optimization WCO 2019 /
Recent advances in computational optimizationresults of the Workshop on Computational Optimization WCO 2019 /[electronic resource] :WCO 2019edited by Stefka Fidanova. - Cham :Springer International Publishing :2021. - x, 199 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9201860-949X ;. - Studies in computational intelligence ;v. 216..

Validation and optimization of dam break ﬂood risk mapping based on ﬁeld test cases in Armenia -- Fire Simulator capable to analyze ﬁre spread in real time with limited ﬁeld weather data. Case study - Kresna Fire (2017) -- Utilizing Minimum Set-Cover Structures with Several Constraints for Knowledge Discovery on Large Literature Databases -- Evaluation of optimal charging station location for electric vehicles: an Italian case-study -- InterCriteria Analysis of the Evaporation Parameter Inﬂuence on Ant Colony Optimization Algorithm: A Workforce Planning Problem -- Caterpillar Alignment Distance for Rooted Labeled Caterpillars: Distance Based on Alignments Required to Be Caterpillars -- ICrA over Ordered Pairs Applied to ABC Optimization Results -- A Game Theoretical Approach for VLSI Physical Design Placement -- Application of information systems and technologies in transport -- Online algorithms for 1-space bounded cube packing and 2-space bounded hypercube packing.

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 and other domains can be formulated as optimization problems.

ISBN: 9783030588847$q(electronic bk.)

Standard No.: 10.1007/978-3-030-58884-7doiSubjects--Topical Terms:

441127
Combinatorial optimization
--Congresses.

LC Class. No.: QA402.5 / .W67 2019

Dewey Class. No.: 519.64

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520 $a 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 and other domains can be formulated as optimization problems.
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