An improved group search optimizer for mechanical design optimization problems
Hai Shen, Yunlong Zhu, Ben Niu, Qinghua Wu · Progress in Natural Science Materials International · 2008
This paper presents an improved group search optimizer (iGSO) for solving mechanical design optimization problems. In the proposed algorithm, subpopulations and a co-operation evolutionary strategy were adopted to improve the global search capability and convergence performance. The iGSO is evaluated on two optimization problems of classical mechanical design: spring and pressure vessel. The experimental results are analyzed in comparison with those reported in the literatures. The results show that iGSO has much better convergence performance and is easier to implement in comparison with other existing evolutionary algorithms.