A Literature Survey on Offline Automatic Algorithm Configuration
Metaheuristic and heuristic methods have many tunable parameters, and choosing their values can increase their ability to deal with hard optimization problems. Automated approaches for finding good parameter settings have attracted significant research and development efforts in the last few years....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/13/6316 |
| _version_ | 1827655662758264832 |
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| author | Yasemin Eryoldaş Alptekin Durmuşoglu |
| author_facet | Yasemin Eryoldaş Alptekin Durmuşoglu |
| author_sort | Yasemin Eryoldaş |
| collection | DOAJ |
| description | Metaheuristic and heuristic methods have many tunable parameters, and choosing their values can increase their ability to deal with hard optimization problems. Automated approaches for finding good parameter settings have attracted significant research and development efforts in the last few years. Because parameter tuning became commonly utilized in industry and research and there is a significant advancement in this area, a comprehensive review is an important requirement. Although there is very wide literature about algorithm configuration problems, a detailed survey analysis has not been conducted yet to the best of our knowledge. In this paper, we will briefly explain the automatic algorithm configuration problem and then survey the automated methods developed to handle this problem. After explaining the logic of these methods, we also argued about their main advantages and disadvantages to help researchers or practitioners select the best possible method for their specific problem. Moreover, some recommendations and possible future directions for this topic are provided as a conclusion. |
| first_indexed | 2024-03-09T22:09:51Z |
| format | Article |
| id | doaj.art-dc825d69dd2446fe80c83aa7a3f63efc |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:09:51Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-dc825d69dd2446fe80c83aa7a3f63efc2023-11-23T19:34:31ZengMDPI AGApplied Sciences2076-34172022-06-011213631610.3390/app12136316A Literature Survey on Offline Automatic Algorithm ConfigurationYasemin Eryoldaş0Alptekin Durmuşoglu1Department of Industrial Engineering, Gaziantep University, Gaziantep 27010, TurkeyDepartment of Industrial Engineering, Gaziantep University, Gaziantep 27010, TurkeyMetaheuristic and heuristic methods have many tunable parameters, and choosing their values can increase their ability to deal with hard optimization problems. Automated approaches for finding good parameter settings have attracted significant research and development efforts in the last few years. Because parameter tuning became commonly utilized in industry and research and there is a significant advancement in this area, a comprehensive review is an important requirement. Although there is very wide literature about algorithm configuration problems, a detailed survey analysis has not been conducted yet to the best of our knowledge. In this paper, we will briefly explain the automatic algorithm configuration problem and then survey the automated methods developed to handle this problem. After explaining the logic of these methods, we also argued about their main advantages and disadvantages to help researchers or practitioners select the best possible method for their specific problem. Moreover, some recommendations and possible future directions for this topic are provided as a conclusion.https://www.mdpi.com/2076-3417/12/13/6316metaheuristicsoffline algorithm configurationparameter tuning |
| spellingShingle | Yasemin Eryoldaş Alptekin Durmuşoglu A Literature Survey on Offline Automatic Algorithm Configuration Applied Sciences metaheuristics offline algorithm configuration parameter tuning |
| title | A Literature Survey on Offline Automatic Algorithm Configuration |
| title_full | A Literature Survey on Offline Automatic Algorithm Configuration |
| title_fullStr | A Literature Survey on Offline Automatic Algorithm Configuration |
| title_full_unstemmed | A Literature Survey on Offline Automatic Algorithm Configuration |
| title_short | A Literature Survey on Offline Automatic Algorithm Configuration |
| title_sort | literature survey on offline automatic algorithm configuration |
| topic | metaheuristics offline algorithm configuration parameter tuning |
| url | https://www.mdpi.com/2076-3417/12/13/6316 |
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