Intelligent Algorithms: Theory and Practice by Han Huang (.PDF)+
File Size: 23.3 MB
Intelligent Algorithms: Theory and Practice by Han Huang, Zhifeng Hao
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Overview: The Theory and Practice of Intelligent Algorithms discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In five chapters, the book covers (1) New methods of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3) Application of intelligent algorithms in logistics scheduling; (4) Application of intelligent algorithms in software testing; and (5) Application of intelligent algorithm in multi-objective optimization. Intelligent algorithms are the algorithmic forms of computational intelligence methods. These algorithms are the common technical methods used by Artificial Intelligence (AI) in intelligent perception, intelligent decision-making, and intelligent planning. At this stage, intelligent algorithms are usually manifested as evolutionary computation, swarm intelligence, Machine Learning, other algorithms, and their combinations. Existing literature on intelligent algorithms focuses on theories, methods, and simulation experiments, leaving practical applications underexplored, especially the application of cutting-edge research in Artificial Intelligence. This book aims to serve as a reference book with practical cases for practitioners of intelligent algorithms based on cutting-edge research results.
Genre: Non-Fiction > Tech & Devices
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