Multi-space Competitive DGA and its application to localization of multiple signal sources
K. Horio, S Ishikawa, Hideaki Misawa, Tatsuji Tokiwa, T. Yamakawa, R. Kubota · 2010
In this paper, a new optimization method, which is effective for the problem that the optimum solution should be searched in several solution spaces, is proposed. The proposed method is an extension of distributed genetic algorithm (DGA), in which each sub-population searches a solution in different space. Based on the competition between sub-populations, population sizes are adequately changed. The proposed method is applied to signal source localization, in which the number of sources is unknown, and simulation results show the effectiveness of the method.