A Novel Atmosphere Clouds Model Optimization Algorithm
Gaowei Yan, Hao Zhanju · 2012
This paper introduces a novel numerical stochastic optimization algorithm inspired from the behavior of cloud in the natural world, which is designated as Atmosphere Clouds Model Optimization Algorithm (ACMO). And the ACMO algorithm has been tested on a set of benchmark functions in comparison with Particle Swarm Optimization algorithm (PSO) and Genetic Algorithm (GA). The results demonstrate that the proposed algorithm has a certain advantage in solving multimodal functions.