Self-adaptively commensal learning-based Jaya algorithm with multi-populations and its application

Jaya algorithm is an advanced optimization algorithm, which has been applied to many real-world problems. better performance in some field. However, exploration capability not better. In order enhance of the a self-adaptively commensal learning-based with multi-populations (Jaya-SCLMP) presented this paper. Jaya-SCLMP, learning strategy used increase probability finding global optimum, person history best and worst information explore new solution area. Moreover, based on Gaussian distribution scheme dictionary utilized capability, meanwhile every subpopulation employed three distributions at each generation, roulette wheel selection choose dictionary. The Jaya-SCLMP evaluated 28 CEC 2013 unconstrained benchmark addition, reliability problems, i.e., complex (bridge) system, series system series–parallel are selected. Compared several variants state-of-the-art other algorithms, experimental results reveal that effective.