A Hybrid Spherical Search and Whale Optimization Algorithm

In recent years, mixed-element heuristics have received increasing attention in optimization algorithms. The spherical search (SS)-a swarm-based meta-heuristic algorithm is used for solving global optimization problems with nonlinear constraints. The whale optimization algorithm (WOA), inspired by the bubble net hunting strategy, mimics the social behavior of humpback whales, whereas the heuristics method usually fall into a so-called "local optima trap". We proposed a hybrid algorithm based on the whale algorithm and the spherical search optimization hybrid algorithm, so that the two optimization strategies are merged into the presented algorithm which enables both algorithms to work in a co-evolutionary way. Experiment results show that the proposed hybrid algorithm can find the better solutions than some other new algorithms in term of convergence speed and solution accuracy.