An improved African vultures optimization algorithm based on tent chaotic mapping and time-varying mechanism.

ABSTRACT: Metaheuristic optimization algorithms are one of the most effective methods for solving complex engineering problems. However, the performance of a metaheuristic algorithm is related to its exploration ability and exploitation ability. Therefore, to further improve the African vultures optimization algorithm (AVOA), a new metaheuristic algorithm, an improved African vultures optimization algorithm based on tent chaotic mapping and time-varying mechanism (TAVOA), is proposed. First, a tent chaotic map is introduced for population initialization. Second, the individual's historical optimal position is recorded and applied to individual location updating. Third, a time-varying mechanism is designed to balance the exploration ability and exploitation ability. To verify the effectiveness and ef

SUBMITTER: Fan J 

PROVIDER: S-EPMC8631685 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature