Improved grey wolf algorithm for optimization problems

The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many problems give better solution as compare to other algorithms. However, due its poor exploration capability, imbalance relation between exploitation. Therefore, in this research work, the part of GWO was improved through hybrid with whale algorithm (WOA) exploration. proposed (GWWOA) evaluated on five unimodal multimodal benchmark functions. results shows that GWWOA offered ability able solve problem search space. Additionally, were well balanced gave most optimal space standard WOA