New robot path planning optimization using hybrid GWO-PSO algorithm

Actually, path planning is one of the most crucial aspects mobile robots study. The primary goal this research to develop a solution issues that occur when “mobile robot” operates in static environment. problem handled by finding collision-free meets given criteria for shortest distance with quite smoothness path. Two nature-inspired metaheuristic algorithms are used computation. By leading hybrid “gray wolf optimization” “particle swarm (HGWO-PSO) computation restricts and follows perfection guidelines, shape improved. In addition, simulation findings reveal proposed HGWO-PSO method deeply serious terms optimality compared approaches such as group search optimizer GSO, PSO, artificial bee colony ABC, GWO.