MatHH: A Matlab-based Hyper-Heuristic framework
Hyper-Heuristics (HHs) have proven to be a valuable tool for solving complex problems, such as Combinatorial Optimization Problems (COPs). These solvers have an assorted set of models arising through extensive research from the scientific community. Hence, it is customary that researchers develop th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711022000413 |
| _version_ | 1811244612381048832 |
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| author | Jorge M. Cruz-Duarte José C. Ortiz-Bayliss Ivan Amaya |
| author_facet | Jorge M. Cruz-Duarte José C. Ortiz-Bayliss Ivan Amaya |
| author_sort | Jorge M. Cruz-Duarte |
| collection | DOAJ |
| description | Hyper-Heuristics (HHs) have proven to be a valuable tool for solving complex problems, such as Combinatorial Optimization Problems (COPs). These solvers have an assorted set of models arising through extensive research from the scientific community. Hence, it is customary that researchers develop their models from scratch, which increases development times. Drafting and testing new ideas become burdensome and time-consuming. In this work, we present MatHH, a Matlab-based framework to allow rapid prototyping of HHs. We summarize the architecture and some examples of their usage. We also discuss some research questions that upcoming research may explore through MatHH. |
| first_indexed | 2024-04-12T14:28:14Z |
| format | Article |
| id | doaj.art-0eaa7e379cfd41e2b1f4a87e16324721 |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-04-12T14:28:14Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-0eaa7e379cfd41e2b1f4a87e163247212022-12-22T03:29:23ZengElsevierSoftwareX2352-71102022-06-0118101047MatHH: A Matlab-based Hyper-Heuristic frameworkJorge M. Cruz-Duarte0José C. Ortiz-Bayliss1Ivan Amaya2School of Engineering and Sciences, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey, NL 64849, MexicoSchool of Engineering and Sciences, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey, NL 64849, MexicoCorresponding author.; School of Engineering and Sciences, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey, NL 64849, MexicoHyper-Heuristics (HHs) have proven to be a valuable tool for solving complex problems, such as Combinatorial Optimization Problems (COPs). These solvers have an assorted set of models arising through extensive research from the scientific community. Hence, it is customary that researchers develop their models from scratch, which increases development times. Drafting and testing new ideas become burdensome and time-consuming. In this work, we present MatHH, a Matlab-based framework to allow rapid prototyping of HHs. We summarize the architecture and some examples of their usage. We also discuss some research questions that upcoming research may explore through MatHH.http://www.sciencedirect.com/science/article/pii/S2352711022000413Combinatorial optimizationHyper-heuristicsJob shop schedulingMatlabMatHH |
| spellingShingle | Jorge M. Cruz-Duarte José C. Ortiz-Bayliss Ivan Amaya MatHH: A Matlab-based Hyper-Heuristic framework SoftwareX Combinatorial optimization Hyper-heuristics Job shop scheduling Matlab MatHH |
| title | MatHH: A Matlab-based Hyper-Heuristic framework |
| title_full | MatHH: A Matlab-based Hyper-Heuristic framework |
| title_fullStr | MatHH: A Matlab-based Hyper-Heuristic framework |
| title_full_unstemmed | MatHH: A Matlab-based Hyper-Heuristic framework |
| title_short | MatHH: A Matlab-based Hyper-Heuristic framework |
| title_sort | mathh a matlab based hyper heuristic framework |
| topic | Combinatorial optimization Hyper-heuristics Job shop scheduling Matlab MatHH |
| url | http://www.sciencedirect.com/science/article/pii/S2352711022000413 |
| work_keys_str_mv | AT jorgemcruzduarte mathhamatlabbasedhyperheuristicframework AT josecortizbayliss mathhamatlabbasedhyperheuristicframework AT ivanamaya mathhamatlabbasedhyperheuristicframework |