| dc.contributor.author | Phen, Chiak See | |
| dc.date.accessioned | 2010-08-16T01:20:52Z | |
| dc.date.available | 2010-08-16T01:20:52Z | |
| dc.date.issued | 2009-06-20 | |
| dc.identifier.citation | p.230-232 | en_US |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/8673 | |
| dc.description | Malaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on
June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, Pahang, Malaysia. | en_US |
| dc.description.abstract | The use of Ant Colony
Optimizations (ACOs) to solve Combinatorial
Optimization (CO) problems has increase rapidly.
Particularly, researchers have started to seek for
improvement in ACOs through various innovative
methodologies. Among others is the use of
innovative pheromone manipulation strategy, the
modification of ACOs framework, and
hybridization of ACOs with other metaheuristic
algorithms. This paper presents a new pheromone
manipulation strategy called the Minimum
Pheromone Threshold Strategy (MPTS), which is
able to enhance the search performance of the
Max-Min Ant System (MMAS) algorithm (a
variant of ACO). | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Malaysia Pahang | en_US |
| dc.relation.ispartofseries | Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 | en_US |
| dc.subject | Ant Colony Optimization (ACO), | en_US |
| dc.subject | Max-Min Ant System (MMAS) | en_US |
| dc.subject | Quadratic Assignment Problems (QAP) | en_US |
| dc.subject | Manufacturing support system | en_US |
| dc.subject | Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) | en_US |
| dc.title | A new strategy to improve the search performance of Max-Min Ant Aystem Algorithm when solving the Quadratic Assignment Problems | en_US |
| dc.type | Working Paper | en_US |
