Comparison of Multi objective Hyper-heuristics on tri-objective WFG test problems
Conference Paper
Maashi, Mashael S. . 2013
Conference Name:
The 7th Saudi Students Scientific Conference(SSCUK2013)
Conference Location:
Edinburgh, UK
Conference Date:
Saturday, February 2, 2013
Sponsoring Organization:
Saudi Arabian Cultural Bureau in London
Publication Abstract:
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.