dc.contributor.author | Alyahya, K | |
dc.contributor.author | Doherty, K | |
dc.contributor.author | Fieldsend, JE | |
dc.contributor.author | Akman, OE | |
dc.date.accessioned | 2017-04-19T12:46:30Z | |
dc.date.issued | 2017-07-15 | |
dc.description.abstract | Efficient robust optimisation methods exploit the search history when evaluating a new solution by using information from previously visited solutions that fall in the new solution’s uncertainty neighbourhood. We propose a full exploitation of the search history by updating the robust fitness approximations across the entire search history rather than a fixed population. Our proposed method shows promising results on a range of test problems compared with other approaches from the literature. | en_GB |
dc.description.sponsorship | This work was supported by the Engineering and Physical Sciences Research Council [grant number EP/N017846/1]. | en_GB |
dc.identifier.citation | GECCO 2017: Genetic and Evolutionary Computation Conference, 15-19 July 2017, Berlin, Germany | en_GB |
dc.identifier.doi | 10.1145/3067695.3076060 | |
dc.identifier.uri | http://hdl.handle.net/10871/27155 | |
dc.language.iso | en | en_GB |
dc.publisher | Association for Computing Machinery (ACM) | en_GB |
dc.rights.embargoreason | Embargoed until after conference | en_GB |
dc.rights | © 2017 Copyright held by the owner/author(s). Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for 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 | Robust optimisation | en_GB |
dc.subject | uncertain optimisation | en_GB |
dc.subject | sampling bias | en_GB |
dc.title | On the Exploitation of Search History and Accumulative Sampling in Robust Optimisation | en_GB |
dc.type | Conference paper | en_GB |
dc.description | This is the author accepted manuscript. The final version is available from ACM via the DOI in this record. | en_GB |