Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2017: Studies in Computational Intelligence, cartea 795
Editat de Stefka Fidanovaen Limba Engleză Paperback – feb 2019
Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming andothers.
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Specificații
ISBN-13: 9783030076184
ISBN-10: 3030076180
Pagini: 236
Ilustrații: X, 236 p. 76 illus., 40 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:Softcover reprint of the original 1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030076180
Pagini: 236
Ilustrații: X, 236 p. 76 illus., 40 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:Softcover reprint of the original 1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Chapter 1. Contraction methods for correlation clustering: the order is important (Laszlo Aszal´os).- Chapter 2. Optimisation of Preparedness and Response of Health services in major crises using the IMPRESS platform (Nina Dobrinkova).- Chapter 3. The new approach for dynamic optimization with variability constraints (Pawel Drag).- Chapter 4. Intercriteria Analisys of ACO Performance for Workforce Planning Problem (Olympia Roeva) etc.
Textul de pe ultima copertă
Our everyday lives are practically unthinkable without optimization. We constantly try to minimize our effort and to maximize the reward or progress achieved. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume presents a comprehensive collection of extended contributions from the 2017 Workshop on Computational Optimization.
Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming andothers.
Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming andothers.
Caracteristici
Demonstrates 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 bioreactors, and control of ethanol production Presents a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO), held in Prague, Czech Republic on September 3–6, 2017
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)