Comparison of Multi objective Hyper-heuristics on tri-objective WFG test problems

Conference Paper

Maashi, Mashael S. . 2013

• اسم المؤتمر: The 7th Saudi Students Scientific Conference(SSCUK2013)
• عنوان المؤتمر: Edinburgh, UK
• تاريخ المؤتمر: السبت, شباط (فبراير) 2, 2013
• المنظمة الراعية: Saudi Arabian Cultural Bureau in London

مستخلص المنشور

In this study, the performance of three multi-objective selection choice function based hyper-heuristics that are combined with different move acceptance strategies including all-moves (AM), great deluge algorithm (GDA) and late acceptance (LA) are evaluated on the tri-objective the Walking Fish Group (WFG) test problems, which is as a common benchmark for multi-objective optimisation. The performance of our hyper-heuristics are compared to the well established multi-objective evolutionary algorithm; SPEA2. The experimental results demonstrate the effectiveness of the multi-objective choice function great deluge based hyper-heuristic.