Self‐balancing robot bionic intelligence multi‐dimensional decision‐making evaluation algorithm

Abstract

SummaryThe self‐balancing robot multi‐dimensional decision‐making evaluation (SRMDE) algorithm is a new bionic intelligent algorithm, which adopts an overall updating evaluation strategy for the solution. For solving the multi‐dimensional function optimization problem, due to the mutual interference between the various dimensions, the convergence rate and the quality of the solution will be deteriorated by using the overall update evaluation strategy. In order to compensate for this defect, a multi‐dimensional decision‐making algorithm for self‐balancing robot based on bionic intelligence is proposed. In the iterative process of the improved algorithm, updating evaluation strategy by the dimensionality is adopted for the solution. It combines the updated value of each dimension with the value of other dimensions to form a new solution and accept the update value using greedy way this can improve the solution quality. The results show that the improved strategy can effectively improve the convergence rate of the SRMDE algorithm, and the quality of the solution is improved. Compared with the relative improved self‐balancing robot multi‐dimensional decision‐making algorithm and other evolutionary algorithms, the improved algorithm is competitive in solving the continuous function optimization problem.