 The proposed improved Sparrow Search Algorithm ESA-DWA is a hybrid algorithm combining the advantages of the original Sparrow Search Algorithm SSA, Dynamic Window Approach, DWA, and Koshy Reverse Learning, CRL. It has been shown to be more efficient than the original SSA in terms of path length, path turning times, and execution time, while maintaining a higher level of path smoothness. This article was authored by Li Songlu, Jingrun Liang, Kaikigwa, and others.