An Operator Based Adaptive Genetic Algorithm [chapter]

Koh Sueyi, Leowsoo Kar, Loke Kar Seng
IFIP — The International Federation for Information Processing  
Genetic Algorithms (GAs) are a robust heuristic search technique capable of taking on a broad range of optimization problems. In most GAs, components and parameters are predetermined and remain static throughout its run. In this paper, it is hypothesized that a GA's performance and robustness can be enhanced through the 'online' adaptation of the operators and an operator based adaptive genetic algorithm (AGA) based on these concepts is designed and implemented. A number of permutation based
more » ... blems were selected to evaluate the performance of AGA.
doi:10.1007/0-387-29295-0_44 dblp:conf/ifip12/SueyiKS05 fatcat:suhiak2i3vhkrkozq57vq4fwmm