Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
850026 | Optik - International Journal for Light and Electron Optics | 2014 | 6 Pages |
Abstract
Solving constrained optimization problems (COPs) is a central research topic in the field of optimization. Given the complexity of COPs, it is difficult to solve them with traditional optimization techniques. In this paper, a hybrid membrane evolutionary algorithm (HMEA) is proposed. It combines a one-level membrane structure with a particle swarm optimization (PSO) local search algorithm. The simulation results show that the proposed algorithm is valid and outperforms the state-of-the-art algorithms.
Related Topics
Physical Sciences and Engineering
Engineering
Engineering (General)
Authors
Jianhua Xiao, Yufang Huang, Zhen Cheng, Juanjuan He, Yunyun Niu,