Grouped-and-delayed broadcasting mechanism for optimum information in particle swarm optimization

In this paper, the grouped-and-delayed mechanism for optimum information broadcasting is introduced into optimization process of particle swarm optimization algorithm to make sufficient search in optimization space and to meet the requirement of general convergence. The algorithm is improved based on the modified particle algorithm, and used to optimize the multidimensional and multimodal function. Simulation results show that, for same iterations and computation times, the average optimization results derived is better than the fuzzy adaptive particle swarm optimization algorithm.