| dc.contributor.author | Yates, W | |
| dc.contributor.author | Keedwell, EC | |
| dc.date.accessioned | 2019-05-10T14:54:21Z | |
| dc.date.issued | 2019-07-13 | |
| dc.description.abstract | The paper explores the impact of sequences of search operationson the performance of an optimiser through the use of log returnsand a database of sequences. The study demonstrates that althoughthe performance of individual perturbation operators is important,understanding their performance in sequence provides greater op-portunity for performance improvements within and across opera-tions research domains. | en_GB |
| dc.identifier.citation | GECCO '19: Genetic and Evolutionary Computation Conference, 13-17 July 2019, Prague, Czech Republic
Read more at https://ore.exeter.ac.uk/repository/handle/10871/36906?show=full#HPOVQGyHVE2D8wQj.99 | en_GB |
| dc.identifier.doi | 10.1145/3319619.3326760 | |
| dc.identifier.uri | http://hdl.handle.net/10871/37047 | |
| dc.language.iso | en | en_GB |
| dc.publisher | Association for Computing Machinery (ACM) | en_GB |
| dc.rights | © 2019 Copyright held by the owner/author(s). Permission to make digital or hard copies of part or all of this work for personal orclassroom use is granted without fee provided that copies are not made or distributedfor profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). | en_GB |
| dc.subject | Machine Learning | en_GB |
| dc.subject | Hyper-heuristics | en_GB |
| dc.subject | Offline learning | en_GB |
| dc.title | Analysing heuristic subsequences for offline hyper-heuristic learning | en_GB |
| dc.type | Conference proceedings | en_GB |
| dc.date.available | 2019-05-10T14:54:21Z | |
| dc.description | This is the author accepted manuscript. The final version is available from ACM via the DOI in this record | en_GB |
| dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
| dcterms.dateAccepted | 2019-04-03 | |
| rioxxterms.version | AM | en_GB |
| rioxxterms.licenseref.startdate | 2019-07-13 | |
| rioxxterms.type | Conference Paper/Proceeding/Abstract | en_GB |
| refterms.dateFCD | 2019-05-09T17:22:58Z | |
| refterms.versionFCD | AM | |
| refterms.dateFOA | 2019-05-29T13:58:15Z | |
| refterms.panel | B | en_GB |
