A new strategy to improve the search performance of Max-Min Ant Aystem Algorithm when solving the Quadratic Assignment Problems

• Main Author: Phen, Chiak See
• Format: Working Paper
• Language: English
• Published: Universiti Malaysia Pahang 2010
• Subjects: Ant Colony Optimization (ACO),; Max-Min Ant System (MMAS); Quadratic Assignment Problems (QAP); Manufacturing support system; Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
• Online Access: http://dspace.unimap.edu.my/xmlui/handle/123456789/8673

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, P...