Hybridization of Equilibrium and Grasshopper Optimization Algorithms

This paper presents a new hybrid version which uses the swarming behaviour of the Grasshopper Optimization Algorithm (GOA) while Equilibrium Optimizer (EO) to guide the search agents towards promising regions of the search space. It makes use of the exploration and exploitation abilities of Equilibrium Optimizer to refine the search within the regions. The hybrid approach is based on the utilization of GOA to perform a global search of a wider search space during the initial phase of the algorithm. The result has shown that this process has effectively controlled the balance between exploration and exploitation during the search process and successfully hybridized the two algorithms to outperform the original algorithms.