Whale Optimization Algorithm (WOA) is known for its exploration ability while Particle Swarm Optimization (PSO) is known for its exploitation ability. Hybridizing them helps to improve convergence speed and solution accuracy. This paper presents a hybrid WOA-PSO algorithm which is evaluated on twentythree benchmark functions and compared its performance with the original WOA and is able to show better results. Hybrid WOA-PSO algorithm giving better optimal solutions than the original one. Experimental results between WOA and PSO enhances balance between exploration and exploitation.