dc.contributor.author | Moraglio, A | |
dc.contributor.author | McDermott, J | |
dc.date.accessioned | 2018-06-11T11:15:29Z | |
dc.date.issued | 2018-08-21 | |
dc.description.abstract | We introduce Program Trace Optimization (PTO), a system for `universal heuristic optimization made easy'. This is achieved by strictly separating the problem from the search algorithm. New problem definitions and new generic search algorithms can be added to PTO easily and independently, and any algorithm can be used on any problem. PTO automatically extracts knowledge from the problem specifi cation and designs search operators for the problem. The operators designed by PTO for standard representations coincide with existing ones, but PTO automatically designs operators for arbitrary representations. | en_GB |
dc.identifier.citation | In: Parallel Problem Solving from Nature – PPSN XV, edited by Anne Auger, Carlos M. Fonseca, Nuno Lourenço, Penousal Machado, Luís Paquete, and Darrell Whitley, pp. 334-346. | en_GB |
dc.identifier.doi | 10.1007/978-3-319-99259-4_27 | |
dc.identifier.uri | http://hdl.handle.net/10871/33150 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer | en_GB |
dc.rights | © Springer Nature Switzerland AG 2018. | |
dc.title | Program trace optimization | en_GB |
dc.type | Conference paper | en_GB |
dc.description | This is the author accepted manuscript. The final version is available from Springer via the DOI in this record. | en_GB |
dc.description | Paper to be presented at the Fifteenth International Conference on Parallel Problem Solving from Nature (PPSN XV), Coimbra, Portugal on 8-12 September 2018. | en_GB |