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Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2020 Springer Nature Switzerland AG 2020 Computati

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書目名稱Recent Advances in Computational Optimization
副標(biāo)題Results of the Works
編輯Stefka Fidanova
視頻videohttp://file.papertrans.cn/823/822664/822664.mp4
概述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 an
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2020 Springer Nature Switzerland AG 2020 Computati
描述.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..
出版日期Book 2020
關(guān)鍵詞Computational Intelligence; Algorithms for Problems; Metaheuristic Methods; Intelligent Systems; WCO 201
版次1
doihttps://doi.org/10.1007/978-3-030-22723-4
isbn_softcover978-3-030-22725-8
isbn_ebook978-3-030-22723-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Geometric Versus Arithmetic Difference and ,-Seminorm Versus ,-Norm in Function Approximation,function that satisfies the constraints and minimizes the distance, in the considered metric, to the target function. To solve the problem, we convert it to a finite dimensional constrained optimization problem by discretizing it. Then, the method of Lagrange multipliers is applied. The obtained sys
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1860-949X onstrates 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..978-3-030-22725-8978-3-030-22723-4Series ISSN 1860-949X Series E-ISSN 1860-9503
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