Mobile robot path planning based on improved grasshopper optimization algorithm

In order to improve the application effect of grasshopper optimization algorithm (GOA) in mobile robot path planning, improved grasshopper optimization algorithm (IGOA) was proposed by introducing levy flight local search strategy and linear declination parameters random jump strategy. The levy flight local search strategy and linear declination parameters random jump strategy IGOA respectively enhanced the randomness and reduced the probability of falling into the local optimum when compared with GOA. Two different driving environments of mobile robots path planning examples showed that IGOA obtained better results.