Recent Advances in Computational Optimization (eBook)

Selected Papers from the WCO 2022 - Workshop on Computational Optimization
Artikelnummer: 978-3-031-57320-0
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2022. 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, parameter settings for controlling different processes, agricultural modeling transportation problems, energy management, machine scheduling, air pollution modeling, optimization of fast-food restaurant chain, and solving engineering and financial problems. 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 book demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.

The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2022. 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, parameter settings for controlling different processes, agricultural modeling transportation problems, energy management, machine scheduling, air pollution modeling, optimization of fast-food restaurant chain, and solving engineering and financial problems. 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 book 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
Erscheinungsjahr2024
Seitenangabe315 S.
AusgabekennzeichenEnglisch
AbbildungenX, 315 p. 245 illus., 60 illus. in color.
Masse25'631 KB
PlattformPDF
ReiheStudies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorFidanova, Stefka (Hrsg.)

Alle Bände der Reihe "Studies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

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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