Recent Advances in Computational Optimization: Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 (Studies in Computational Intelligence, 838)

ISBN 10: 3030227251 / ISBN 13: 9783030227258

Editore: Springer, 2020

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Dati bibliografici

• Titolo: Recent Advances in Computational Optimization: Results of the Workshop on ?Computational Optimization? and ?Numerical Search and Optimization? 2018 (Studies in Computational Intelligence, 838)
• Editore: Springer
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030227251
• ISBN 13: 9783030227258
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

This book presents new optimization approaches and methods and their application in real-world and industrial problems. Numerous processes and problems in real life and industry can be represented as optimization problems, including modeling physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environments. This book shows how to develop algorithms for these problems, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real-world problems arising in engineering, economics and other domains can be formulated as optimization problems. The book is useful for researchers and practitioners alike.

Dalla quarta di copertina

The book presents a comprehensive collection of extended contributions from the Workshops on Computational Optimization and Numerical Search and Optimization 2018. Our everyday life is unthinkable without optimization as we try to minimize our effort while maximizing profit. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. The book discusses recent advances in computational optimization to address important real-world problems like modeling of physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environment. It shows readers how to develop algorithms for these problems based on new intelligent methods like evolutionary computations, ant colony optimization, and constraint programming, and demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.