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Titlebook: Recent Advances in Computational Optimization; Selected Papers from Stefka Fidanova Conference proceedings 2024 The Editor(s) (if applicabl

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书目名称Recent Advances in Computational Optimization
副标题Selected Papers from
编辑Stefka Fidanova
视频video
概述Shows how to develop algorithms for real-world problems based on new metaheuristic methods.Addresses important real-world problems.Extended contributions from the 15th International Workshop on Comput
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Recent Advances in Computational Optimization; Selected Papers from Stefka Fidanova Conference proceedings 2024 The Editor(s) (if applicabl
描述.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..
出版日期Conference proceedings 2024
关键词Computational Intelligence; Algorithms for Problems; Metaheuristic Methods; Intelligent Systems; WCO 202
版次1
doihttps://doi.org/10.1007/978-3-031-57320-0
isbn_softcover978-3-031-57322-4
isbn_ebook978-3-031-57320-0Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the Er DISCOVERER, managed by EuroHPC-Bulgaria consortium. The machine is part of an emerging high performance infrastructure in the European Union. It unites the power of eight advanced supercomputer systems in different European countries..The results of some scalability experiments are shown in this p
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,Surrogate Estimators for Complex Bi-level Energy Management,al solar hydrogen production facility, with limited storage and time-dependent production capacities. In order to avoid importing energy, one needs to make energy production and consumption collaborate in order to minimize both production and routing costs. Because of the complexity of resulting bi-
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