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, metaheuristi...
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Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 electronic resource (184 p.) |
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Yin, Peng-Yeng edt Applied (Meta)-Heuristic in Intelligent Systems Applied Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (184 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open access Unrestricted online access star 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. English Technology: general issues bicssc History of engineering & technology bicssc matheuristics hyperheuristics vehicle routing wireless networking green energy low carbons  3-0365-5875-6 Yin, Peng-Yeng oth |
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English |
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Yin, Peng-Yeng |
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Yin, Peng-Yeng |
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title |
Applied (Meta)-Heuristic in Intelligent Systems |
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Applied (Meta)-Heuristic in Intelligent Systems |
title_full |
Applied (Meta)-Heuristic in Intelligent Systems |
title_fullStr |
Applied (Meta)-Heuristic in Intelligent Systems |
title_full_unstemmed |
Applied (Meta)-Heuristic in Intelligent Systems |
title_auth |
Applied (Meta)-Heuristic in Intelligent Systems |
title_alt |
Applied |
title_new |
Applied (Meta)-Heuristic in Intelligent Systems |
title_sort |
applied (meta)-heuristic in intelligent systems |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
physical |
1 electronic resource (184 p.) |
isbn |
3-0365-5876-4 3-0365-5875-6 |
illustrated |
Not Illustrated |
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AT yinpengyeng appliedmetaheuristicinintelligentsystems AT yinpengyeng applied |
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(CKB)5470000001631749 (oapen)https://directory.doabooks.org/handle/20.500.12854/94566 (EXLCZ)995470000001631749 |
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Applied (Meta)-Heuristic in Intelligent Systems |
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