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Rival penalized competitive learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although they have been widely applied in a variety of research areas, some of their problems have not yet been solved. Based on the semi-competitive learning mechanism of competitive and cooperative learning (CCL), this paper presents...
Studying convergence rate of a genetic algorithm is a very important but a nontrivial task. The more accurate estimation of convergence rate for genetic algorithms can be used to design the more efficient control parameters of algorithms, and to point out the correct direction to improve the algorithms. Moreover, one good measure of convergence rate can be used to judge the efficiency of different...
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