Path Planning of Warehousing Logistics Robots Based on Improved Slime Mold Algorithm
An improved slime mold algorithm is proposed to address the path-planning problem faced by lo-gistics robots in warehousing environment.The algorithm's optimization capability is enhanced through the use of tent chaotic mapping,a Sigmoid function to modify the slime mold's biological oscillator and the integration of a sine-cosine formula.Different scales of raster maps are established with simulation analysis based on the Matlab platform.The results show that in the discrete maps and warehouse environment maps,the improved slime mold algorithm compares with the slime mold algorithm,genetic algorithm,particle swarm algorithm,ant colony algo-rithm,and sparrow search algorithm,and shows certain advantages in path length,iteration number,and calcula-tion time,which verifies that the improvement of the algorithm is effective for the path planning problem of logis-tics robots in warehousing environment.
万方数据
维普
