Memory models for improving tabu search with real continuous variables
| aut.conference.type | Paper Published in Proceedings | |
| aut.researcher | Connor, Andrew Miles | |
| dc.contributor.author | Connor, AM | |
| dc.contributor.editor | Kasabov, N | |
| dc.contributor.editor | Chan, ZSH | |
| dc.date.accessioned | 2014-04-10T07:51:51Z | |
| dc.date.available | 2014-04-10T07:51:51Z | |
| dc.date.copyright | 2006 | |
| dc.date.issued | 2006 | |
| dc.description.abstract | This paper proposes that current memory models in use for tabu search algorithms are at best evolving, as opposed to adaptive, and that improvements can be made by considering the nature of human memory. By introducing new memory structures, the search method can learn about the solution space in which it is operating. The memory model is based on the transfer of events from episodic memory into generalised rules stored in semantic memory. By adopting this model, the algorithm can intelligently explore the solution space in response to what has been learned to date and continuously update the stored knowledge. | |
| dc.identifier.citation | Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS’06) and the 6th International Conference on Neurocomputing and Evolving Intelligence (NCEI’06), Auckland, New Zealand, 2006-12-13 to 2006-12-15 | |
| dc.identifier.doi | 10.1109/HIS.2006.45 | |
| dc.identifier.uri | https://hdl.handle.net/10292/7083 | |
| dc.publisher | IEEE | |
| dc.rights | Copyright © 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
| dc.rights.accessrights | OpenAccess | |
| dc.title | Memory models for improving tabu search with real continuous variables | |
| dc.type | Conference Contribution | |
| pubs.elements-id | 42924 | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies | |
| pubs.organisational-data | /AUT/Design & Creative Technologies/Interdisplinary Unit |