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Applied (Meta)-Heuristic in Intelligent Systems
Yin, Peng-Yeng (Author)
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Mdpi AG
· Hardcover
Applied (Meta)-Heuristic in Intelligent Systems - Yin, Peng-Yeng
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Origin: U.S.A.
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Friday, July 26.
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Synopsis "Applied (Meta)-Heuristic in Intelligent Systems"
Engineering and business problems are becoming increasingly difficult to solve due to the new economics triggered by big data, artificial intelligence, and the internet of things. Exact algorithms and heuristics are insufficient for solving such large and unstructured problems; instead, metaheuristic algorithms have emerged as the prevailing methods. A generic metaheuristic framework guides the course of search trajectories beyond local optimality, thus overcoming the limitations of traditional computation methods. The application of modern metaheuristics ranges from unmanned aerial and ground surface vehicles, unmanned factories, resource-constrained production, and humanoids to green logistics, renewable energy, circular economy, agricultural technology, environmental protection, finance technology, and the entertainment industry. This Special Issue presents high-quality papers proposing modern metaheuristics in intelligent systems.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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