Loading...
Roulette wheel selection applied to PSO on numerical function in discrete and continuous space
Author(s)
Ounsrimuang, Pimolrat
Date Issued
July 22, 2016
Type
Conference Paper
Abstract
Particle Swarm Optimization (PSO) successfully finds a solution as shown in various literatures. In some problems creating on discrete space, adjustment control-parameter may be difficult to modify a reach of optimum solution. The paper proposes an approach applying roulette wheel selection to PSO, which can help PSO escape from a local solution. This approach tested on both continuous and discrete space by finding solution of 12-numerical functions and an engineering-problem. The experiment result showed that the proposed technique can help PSO getting the best result both problem spaces, the performance improvement but also maintain easily to implementation.
Citation
Proceedings 2016 IEEE Region 10 Symposium Tensymp 2016, 361-366, 2016