Applied Metaheuristic Computing
For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact...
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| Médium: | Online |
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| Jazyk: | angličtina |
| Vydáno: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Témata: | |
| On-line přístup: | ONIX_20221206_9783036555690_53 |
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| _version_ | 1869528124407939072 |
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| collection | Directory of Open Access Books |
| description | For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC. |
| format | Online |
| id | doab-20.500.12854ir-94530 |
| 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-945302024-04-11T15:11:19Z Applied Metaheuristic Computing Yin, Peng-Yeng Chang, Ray-I Gheraibia, Youcef Chuang, Ming-Chin Lin, Hua-Yi Lee, Jen-Chun metaheuristics heuristics optimization artificial intelligence energy information security recognition 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 For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC. 2022-12-06T16:10:14Z 2022-12-06T16:10:14Z 2022 book ONIX_20221206_9783036555690_53 9783036555690 9783036555706 https://directory.doabooks.org/handle/20.500.12854/94530 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/topic/6362 https://mdpi.com/books/pdfview/topic/6362 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5570-6 10.3390/books978-3-0365-5570-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036555690 9783036555706 684 Basel open access |
| spellingShingle | metaheuristics heuristics optimization artificial intelligence energy information security recognition 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 Metaheuristic Computing |
| title | Applied Metaheuristic Computing |
| title_full | Applied Metaheuristic Computing |
| title_fullStr | Applied Metaheuristic Computing |
| title_full_unstemmed | Applied Metaheuristic Computing |
| title_short | Applied Metaheuristic Computing |
| title_sort | applied metaheuristic computing |
| topic | metaheuristics heuristics optimization artificial intelligence energy information security recognition 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 | metaheuristics heuristics optimization artificial intelligence energy information security recognition 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_9783036555690_53 |