Research Article
Path Planning of Mobile Robot Based on Improved Multiobjective Genetic Algorithm
Input: Grid map, Map; Start point, : End point, | Output: Shortest path point set,min_path | 1: ; | 2: Evaluate fitness_value of ; | 3: ; | 4: while not meet termination conditions do | 5: Select operation to ; | 6: Crossover operation to ; | 7: Mutation operation to ; | 8: ; | 9: ; | 10: Evaluate fitness_value of ; | 11: ifthen | 12: ; | 13: end if | 14: end while | 15: min_path is with Best_fitness; | 16: Smooth optimization operation to min_path; | 17: return min_path; |
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