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Titlebook: Engineering Applications of AI and Swarm Intelligence; Xin-She Yang Book 2025 The Editor(s) (if applicable) and The Author(s), under exclu

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發(fā)表于 2025-3-21 18:06:58 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Engineering Applications of AI and Swarm Intelligence
編輯Xin-She Yang
視頻videohttp://file.papertrans.cn/321/320622/320622.mp4
概述Discusses latest developments and findings on engineering applications of AI and swarm intelligence.Provides comprehensive reviews and surveys on implementations and coding.Is useful for scholars, lec
叢書名稱Springer Tracts in Nature-Inspired Computing
圖書封面Titlebook: Engineering Applications of AI and Swarm Intelligence;  Xin-She Yang Book 2025 The Editor(s) (if applicable) and The Author(s), under exclu
描述.The book is focused on latest developments and findings on engineering applications of AI and swarm intelligence. It provides comprehensive reviews and surveys on implementations and coding aspects of case studies and applications where appropriate. The book is useful for scholars, lecturers, and practitioners from academia and industrial applications. The readership of this book also includes Ph.D. students and researchers with a wide experience in the subject areas..
出版日期Book 2025
關(guān)鍵詞Algorithms; Artificial Intelligence; Optimization; Engineering Applications; Nature-Inspired Algorithms;
版次1
doihttps://doi.org/10.1007/978-981-97-5979-8
isbn_softcover978-981-97-5981-1
isbn_ebook978-981-97-5979-8Series ISSN 2524-552X Series E-ISSN 2524-5538
issn_series 2524-552X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Diet and Personalized Medicine,ted with the design of new algorithms or new modifications of currently known algorithms. Among the whole family of nature-based optimization algorithms, swarm intelligence algorithms take a special place. In these algorithms, the main focus is on cooperation between individual solutions, which resu
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Operation Management of Microgrid Clustersng technology and aims to gain even more importance in future technologies of all sectors. When applied to civil engineering, artificial intelligence has enormous potential for innovation in all civil engineering fields. Thanks to the powerful capabilities of artificial intelligence algorithms in da
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Electricity Markets and Their Implications, management to finance and engineering to industrial sectors, as all require solving complex optimization problems. So far, researchers have tried to present a vast array of potential solutions that either reduce or maximize the complexity of the optimization problem. However, while selecting such a
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Pinghu Liu,Yan Li,Jingqi Lei,Lijin Donggy. Meta-heuristic algorithms have great significance, and they are preferred in multi-objective optimization of complex problems. Nature-inspired algorithms mimic the optimization exhibited by the creatures in this world to solve their community problems for survival. Nevertheless, these algorithms
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The Multiple Roles of Mos during Meiosis,s, especially occlusions. Indeed, we propose a new real-time Depth Perspective-aware Multiple Object Tracking (DP-MOT) approach to tackle the occlusion problem in MOT. A simple yet efficient Subject-Ordered Depth Estimation (SODE) is first proposed to automatically order the depth positions of detec
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