Comparison of Multi objective Hyper-heuristics on tri-objective WFG test problems
Maashi, Mashael S. . 2013
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.
موقع المؤتمر
Edinburgh, UK
اسم المؤتمر
The 7th Saudi Students Scientific Conference(SSCUK2013)