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Recent Advances in Computational Optimization (eBook)

Results of the Workshop on Computational Optimization WCO 2023
Artikelnummer: 978-3-031-74758-8
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book presents recent advances in computational optimization. The book includes important real problems like modelling of physical processes, workforce planning problem, transportation problems, machine scheduling, air pollution modelling, optimization of fast-food restaurant chain, solving engineering, and financial problems.

Our everyday life is unthinkable without optimization. We try to minimize our effort and maximize the achieved profit.

Many real-world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks.

The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2023.

It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This research demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.

This book presents recent advances in computational optimization. The book includes important real problems like modelling of physical processes, workforce planning problem, transportation problems, machine scheduling, air pollution modelling, optimization of fast-food restaurant chain, solving engineering, and financial problems.

Our everyday life is unthinkable without optimization. We try to minimize our effort and maximize the achieved profit.

Many real-world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks.

The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2023.

It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, 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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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2025
Seitenangabe191 S.
AusgabekennzeichenEnglisch
AbbildungenXII, 191 p. 37 illus., 18 illus. in color.
Masse3'909 KB
PlattformPDF
ReiheStudies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics
AutorFidanova, Stefka (Hrsg.)

Alle Bände der Reihe "Studies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0)"

Über den Autor Stefka (Hrsg.) Fidanova

Stefka Fidanova is Professor of Computer Science at Institute of Information and Communication Technologies, Bulgarian Academy of Sciences. Her research interests include theory, methods, applications of combinatorial optimization and parallel algorithms. She heads the research group of Parallel Algorithms and Machine Learning. She has authored over 200 refereed journal, proceedings and collection papers, edited 13 proceedings, collections and special issues and written 2 monographs. She belongs to the editorial boards of several international journals. She has received the Career Award 2018 of Marie Curie Alumni Association of EU. She is listed in the World's Top 2% Scientists by Stanford University in 2021.

Weitere Titel von Stefka (Hrsg.) Fidanova

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