| Electrical & Electronic Engineering |
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| Multiobjective extremal optimization with applications to engineering design |
| CHEN Min-rong, LU Yong-zai, YANG Gen-ke |
| Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China; College of Information Science and Technology, Jinan University, Guangzhou 510632, China; College of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China |
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Abstract In this paper, we extend a novel unconstrained multiobjective optimization algorithm, so-called multiobjective extremal optimization (MOEO), to solve the constrained multiobjective optimization problems (MOPs). The proposed approach is validated by three constrained benchmark problems and successfully applied to handling three multiobjective engineering design problems reported in literature. Simulation results indicate that the proposed approach is highly competitive with three state-of-the-art multiobjective evolutionary algorithms, i.e., NSGA-II, SPEA2 and PAES. Thus MOEO can be considered a good alternative to solve constrained multiobjective optimization problems.
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Received: 20 June 2007
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