Heuristics and Hyper-Heuristics
In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between com...
محفوظ في:
| التنسيق: | Online |
|---|---|
| اللغة: | الإنجليزية |
| منشور في: |
IntechOpen
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20231201_9789535133841_620 |
| الوسوم: |
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| _version_ | 1869524169317679104 |
|---|---|
| collection | Directory of Open Access Books |
| description | In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios. |
| format | Online |
| id | doab-20.500.12854ir-129511 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1295112024-04-14T10:27:39Z Heuristics and Hyper-Heuristics Del Ser Lorente, Javier bioinformatics, evolutionary algorithms, combinatorial optimization, particle filter, localization thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios. 2023-12-01T15:33:38Z 2023-12-01T15:33:38Z 2017 book ONIX_20231201_9789535133841_620 9789535133841 9789535133834 9789535146773 https://directory.doabooks.org/handle/20.500.12854/129511 eng image/jpeg n/a https://www.intechopen.com/books/5966 https://mts.intechopen.com/storage/books/5966/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/66267 10.5772/66267 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535133841 9789535133834 9789535146773 IntechOpen 136 open access |
| spellingShingle | bioinformatics, evolutionary algorithms, combinatorial optimization, particle filter, localization thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures Heuristics and Hyper-Heuristics |
| title | Heuristics and Hyper-Heuristics |
| title_full | Heuristics and Hyper-Heuristics |
| title_fullStr | Heuristics and Hyper-Heuristics |
| title_full_unstemmed | Heuristics and Hyper-Heuristics |
| title_short | Heuristics and Hyper-Heuristics |
| title_sort | heuristics and hyper heuristics |
| topic | bioinformatics, evolutionary algorithms, combinatorial optimization, particle filter, localization thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures |
| topic_facet | bioinformatics, evolutionary algorithms, combinatorial optimization, particle filter, localization thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures |
| url | ONIX_20231201_9789535133841_620 |