Adaptive comprehensive learning particle swarm optimization with cooperative archive
Applied Soft Computing, pp. 533-546, 2019.
Comprehensive learning particle swarm optimization (CLPSO) enhances its exploration capability by exploiting all other particles’ historical information to update each particle’s velocity. However, CLPSO adopts a set of fixed comprehensive learning (CL) probabilities to learn from other particles, which may impair its performance on compl...More
Full Text (Upload PDF)
PPT (Upload PPT)