A novel hybrid optimization algorithm combined with BBO and PSO
Gang Cheng, Chao Lv, Yan Shi, Li Xu · 2016
In this paper, a novel hybrid optimization algorithm named BBO-PSO is proposed, which is a combination of biogeography-based optimization (BBO) and particle swarm optimization (PSO). In this optimization algorithm, BBO will be employed for local search while PSO will be employed for global search, which makes the algorithm possess powerful search ability in the solution space. The proposed algorithm and 3 existing optimization algorithms are tested on 6 well known benchmarks and the simulation results show that BBO-PSO has better performance than the others.