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Recent Advances in Computational Optimization: Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018 de Stefka Fidanova

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

Editat de Stefka Fidanova
en Limba Engleză Paperback – 14 aug 2020
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.
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Specificații

ISBN-13: 9783030227258
ISBN-10: 3030227251
Pagini: 237
Ilustrații: X, 237 p. 114 illus., 65 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Preface.- Organization.- Chapter 1. Developing a Method for Measuring the Failover Times of First Hop Redundancy within Video Networks.- Chapter 2. Desktop application developed by open source tools for optimizations in cases of natural hazards and field response. Chapter 3. Data optimizations on Kresna Fire (2017) as inputs for WFA simulations.- Chpater 4. Solving Sorting of Rolling Stock Problems utilizing pseudochain structures in Graphs, etc.

Textul de pe ultima copertă

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.

Caracteristici

Shows how to develop algorithms for real-world problems based on new metaheuristic methods Addresses important real-world problems, like parameter settings for controlling processes in a bioreactor and control of ethanol production Presents a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO) held in Poznan, Poland, September 9–12, 2018

Recenzii

“I would recommend this book both to practitioners interested in solving real-life optimization problems and to mathematicians and computer scientists developing and/or improving optimization algorithms. The plethora of application examples will help readers better understand the breadth of possible applications, teach them a few tricks that they will be able to use, and, by emphasizing remaining challenges, encourage future research.” (V. Kreinovich, Computing Reviews, November, 2016)