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Titlebook: Metaheuristics and Optimization in Computer and Electrical Engineering; Volume 2: Hybrid and Navid Razmjooy,Noradin Ghadimi,Venkatesan Raji

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發(fā)表于 2025-3-21 16:11:52 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Metaheuristics and Optimization in Computer and Electrical Engineering
副標題Volume 2: Hybrid and
編輯Navid Razmjooy,Noradin Ghadimi,Venkatesan Rajinika
視頻videohttp://file.papertrans.cn/632/631363/631363.mp4
概述Presents a review of selected hybrid and improved meta-heuristic methods and their applications.Explores the possibility of using different kinds of optimization algorithms.Provides with different cas
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Metaheuristics and Optimization in Computer and Electrical Engineering; Volume 2: Hybrid and Navid Razmjooy,Noradin Ghadimi,Venkatesan Raji
描述.This book discusses different methods of modifying the original metaheuristics and their application in computer and electrical engineering. As the race to develop advanced technology accelerates, a new era of "metaheuristics" has emerged. Through researched-based techniques and collaborative problem-solving, this book helps engineers to find efficient solutions to their engineering challenges. With the help of an expert guide and the collective knowledge of the engineering community, this comprehensive guide shows readers how to use machine learning and other AI techniques to reinvent smart engineering. From understanding the fundamentals to mastering the latest metaheuristics models, this guide provides with the skills and knowledge that need to stay ahead in the technology race. In the previous volume, authors focused on the application of original metaheuristics on electrical and computer sciences. This volume learns how AI and modified metaheuristics can be used to optimize algorithms and create more efficient electrical engineering designs. It gets insights on how data can be effectively processed and discover new techniques for creating sophisticated automation systems. It
出版日期Book 2023
關鍵詞Metaheuristics; Electrical Engineering; Evolutionary Algorithms; Soft Computing; Optimization Algorithms
版次1
doihttps://doi.org/10.1007/978-3-031-42685-8
isbn_softcover978-3-031-42687-2
isbn_ebook978-3-031-42685-8Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
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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Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/m/image/631363.jpg
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V. Rajinikanth,Navid Razmjooy,Ehsan Jamshidpour,Noradin Ghadimi,Gaurav Dhiman,Saeid Razmjooyhievements of specific groups of pupils, such as immigrants, in those societies; and a second, which explores how, and in what degree, the characteristics of schools, educational systems and978-94-007-9242-5978-90-481-3993-4
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1876-1100 mize algorithms and create more efficient electrical engineering designs. It gets insights on how data can be effectively processed and discover new techniques for creating sophisticated automation systems. It 978-3-031-42687-2978-3-031-42685-8Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Seifedine Kadry,Rubén González Crespo,Mohammad El Bitar,Ramya Mohan,Venkatesan Rajinikanth
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