%0 Journal Article
%A ZOU Delong
%A WANG Baohua
%T Hybrid Optimization Algorithm for High Dimensional Function Optimization
%D 2019
%R 10.3778/j.issn.1002-8331.1808-0105
%J Computer Engineering and Applications
%P 122-127
%V 55
%N 20
%X When the Particle Swarm Optimization（PSO） algorithm is easy to concentrate near the optimal particle, the particle motion ability is lost and the population is stagnant, so the optimization effect is not ideal. In this case, a new hybrid optimization algorithm is developed to solve these problems by combining the aggregation and foraging behavior of the Artificial Fish Swarm Algorithm（AFSA） with the particle swarm optimization algorithm. Finally, simulation experiments show that the hybrid optimization algorithm has excellent performance in the optimization of high-dimensional functions.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1808-0105