Journal
OPTIK
Volume 125, Issue 2, Pages 897-902Publisher
ELSEVIER GMBH
DOI: 10.1016/j.ijleo.2013.08.032
Keywords
P systems; Membrane evolutionary algorithm; Particle swarm optimization; Constrained optimization problems
Categories
Funding
- National Natural Science Foundation of China [60903105, 61373066, 61100055, 61272071, 61202204]
- Fundamental Research Funds for the Central Universities [NKZXB1110]
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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. (C) 2013 Elsevier GmbH. All rights reserved.
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