Hybrid Slime Mold and Arithmetic Optimization Algorithm with Random Center Learning and Restart Mutation.

ABSTRACT: The slime mold algorithm (SMA) and the arithmetic optimization algorithm (AOA) are two novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a strong global search ability. Still, the oscillation effect in the later iteration stage is weak, making it difficult to find the optimal position in complex functions. The arithmetic optimization algorithm utilizes multiplication and division operators for position updates, which have strong randomness and good convergence ability. For the above, this paper integrates the two algorithms and adds a random central solution strategy, a mutation strategy, and a restart strategy. A hybrid slime mold and arithmetic optimization algorithm with random center learning and restart mutation (RCLSMAOA) is proposed. The improved

SUBMITTER: Chen H 

PROVIDER: S-EPMC10526150 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature