At present,the convergence speed,diversity of initial population and global optimization of the standard slime mold algorithm(SMA)are not ideal.Therefore,a multi-strategy improved slime mold algorithm(MSMA)was presented.In the initial population of slime molds,the chaotic sequence generated by the Tent chaotic map was used to enrich the population diversity of the algorithm and thus to avoid local optimization.Then,a Levy flight strategy was introduced to improve the searching way of slime molds when they were close to food.Moreover,based on the ergodici-ty of the golden sine algorithm,the search accuracy of SMA was improved.Furthermore,MSMA was applied to the global path planning of mobile robots,thus obtaining the path planning result.The proposed algorithm has good con-vergence and global search ability.In addition,it has good planning performance and optimization ability.
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