書目名稱 | Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering | 編輯 | Gustavo Mendes Platt,Xin-She Yang,Ant?nio José Sil | 視頻video | http://file.papertrans.cn/233/232556/232556.mp4 | 概述 | Highlights a wealth of applications of metaheuristics to real-world problems from several areas of Engineering.Describes improved versions of classical metaheuristic methods, such as Bat Algorithms an | 圖書封面 |  | 描述 | This book focuses on metaheuristic methods and its applications to real-world problems in Engineering.?The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion – state-of-the-art approaches for the application of computational intelligence to engineering problems..The wide variety of methods an | 出版日期 | Book 2019 | 關鍵詞 | computational intelligence; metaheuristics; evolutionary algorithms; bioinspired algorithms; nature-insp | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-96433-1 | isbn_softcover | 978-3-030-07190-5 | isbn_ebook | 978-3-319-96433-1 | copyright | Springer Nature Switzerland AG 2019 |
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書目名稱Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering被引頻次 
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