| 書目名稱 | Handbook of Formal Optimization | | 編輯 | Anand J. Kulkarni,Amir H. Gandomi | | 視頻video | http://file.papertrans.cn/422/421350/421350.mp4 | | 概述 | Rich contributions from leading experts worldwide.A complete state-of-the-art reference of the formal optimization methods and applications.Includes critical literature review, optimization method des | | 圖書封面 |  | | 描述 | .The formal optimization handbook is a comprehensive guide that covers a wide range of subjects. It includes a literature review, a mathematical formulation of optimization methods, flowcharts and pseudocodes, illustrations, problems and applications, results and critical discussions, and much more. The book covers a vast array of formal optimization fields, including mathematical and Bayesian optimization, neural networks and deep learning, genetic algorithms and their applications, hybrid optimization methods, combinatorial optimization, constraint handling in optimization methods, and swarm-based optimization. This handbook is an excellent reference for experts and non-specialists alike, as it provides stimulating material. The book also covers research trends, challenges, and prospective topics, making it a valuable resource for those looking to expand their knowledge in this field.. | | 出版日期 | Reference work 2024 | | 關鍵詞 | Engineering Optimization; Nature inspired Methods; Heuristics; Resource Optimization; Machine Learning; N | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-3820-5 | | isbn_ebook | 978-981-97-3820-5 | | copyright | Springer Nature Singapore Pte Ltd. 2024 |
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