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...
שמור ב:
| פורמט: | Online |
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| שפה: | אנגלית |
| יצא לאור: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| נושאים: | |
| גישה מקוונת: | ONIX_20221206_9783036558752_89 |
| תגים: |
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| _version_ | 1869524806430359552 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-94566 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-945662024-04-09T23:16:11Z Applied (Meta)-Heuristic in Intelligent Systems Yin, Peng-Yeng matheuristics hyperheuristics vehicle routing wireless networking green energy low carbons  thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2022-12-06T16:12:05Z 2022-12-06T16:12:05Z 2022 book ONIX_20221206_9783036558752_89 9783036558752 9783036558769 https://directory.doabooks.org/handle/20.500.12854/94566 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6401 https://mdpi.com/books/pdfview/book/6401 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5876-9 10.3390/books978-3-0365-5876-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036558752 9783036558769 184 Basel open access |
| spellingShingle | matheuristics hyperheuristics vehicle routing wireless networking green energy low carbons  thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Applied (Meta)-Heuristic in Intelligent Systems |
| title | 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_short | Applied (Meta)-Heuristic in Intelligent Systems |
| title_sort | applied meta heuristic in intelligent systems |
| topic | matheuristics hyperheuristics vehicle routing wireless networking green energy low carbons  thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | matheuristics hyperheuristics vehicle routing wireless networking green energy low carbons  thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20221206_9783036558752_89 |