Title :
Empirical study of particle swarm optimizer with an increasing inertia weight
Author :
Zheng, Yong-ling ; Ma, Long-hua ; Zhang, Li-yan ; Qian, Ji-Xin
Author_Institution :
Dept. of Control Sci. & Eng., Zheijiang Univ., Hangzhou, China
Abstract :
A PSO with increasing inertia weight, distinct from a widely used PSO with decreasing inertia weight, is proposed in this paper. Four standard test functions with asymmetric initial range settings are used to confirm its validity. From the experiments, it is clear that a PSO with increasing inertia weight outperforms the one with decreasing inertia weight, both in convergent speed and solution precision, with no additional computing load compared with the PSO with a decreasing inertia weight.
Keywords :
artificial life; convergence; evolutionary computation; optimisation; search problems; asymmetric initial range settings; computing load; convergent speed; inertia weight; particle swarm optimizer; standard test functions; Benchmark testing; Birds; Control systems; Equations; Insects; Integrated circuit modeling; Particle swarm optimization; Performance analysis; Systems engineering and theory;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299578