Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems

In view of the shortcomings whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved (IWOA) is proposed. First, standard WOA from three aspects initial population, factor, mutation operation. At same time, Gaussian introduced. Then nonfixed penalty function method used transform constrained problem unconstrained problem. Finally, 13 benchmark problems were test feasibility effectiveness proposed method. Numerical results show that IWOA has obvious advantages stronger global search ability, better stability, faster higher accuracy; it can be effectively solve complex problems.