An Adaptive Parallel Arithmetic Optimization Algorithm for Robot Path Planning

Path planning is one of the hotspots in research automotive engineering. Aiming at issue robot path with goal finding a collision-free optimal motion an environment barriers, this study proposes adaptive parallel arithmetic optimization algorithm (APAOA) novel communication strategy. Comparisons other popular algorithms on 18 benchmark functions are committed. Experimental results show that proposed performs better terms solution accuracy and convergence speed, strategy can prevent from falling into local solution. Finally, we apply APAOA to solve problem planning.