Zhang, Hu and Zhou, Aimin and Song, Shenmin and Zhang, Qingfu and Gao, Xiao-Zhi and Zhang, Jun (2016) A Self-Organizing Multiobjective Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation, 20 (5). pp. 792-806. DOI https://doi.org/10.1109/tevc.2016.2521868
Zhang, Hu and Zhou, Aimin and Song, Shenmin and Zhang, Qingfu and Gao, Xiao-Zhi and Zhang, Jun (2016) A Self-Organizing Multiobjective Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation, 20 (5). pp. 792-806. DOI https://doi.org/10.1109/tevc.2016.2521868
Zhang, Hu and Zhou, Aimin and Song, Shenmin and Zhang, Qingfu and Gao, Xiao-Zhi and Zhang, Jun (2016) A Self-Organizing Multiobjective Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation, 20 (5). pp. 792-806. DOI https://doi.org/10.1109/tevc.2016.2521868
Abstract
Under mild conditions, the Pareto front (Pareto set) of a continuous m-objective optimization problem forms an (m-1)-dimensional piecewise continuous manifold. Based on this property, this paper proposes a self-organizing multiobjective evolutionary algorithm. At each generation, a self-organizing mapping method with (m-1) latent variables is applied to establish the neighborhood relationship among current solutions. A solution is only allowed to mate with its neighboring solutions to generate a new solution. To reduce the computational overhead, the self-organizing training step and the evolution step are conducted in an alternative manner. In other words, the self-organizing training is performed only one single step at each generation. The proposed algorithm has been applied to a number of test instances and compared with some state-of-the-art multiobjective evolutionary methods. The results have demonstrated its advantages over other approaches.
Item Type: | Article |
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Uncontrolled Keywords: | Clustering algorithm; evolutionary algorithms; multiobjective optimization; self-organizing map (SOM) |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 14 Dec 2016 09:44 |
Last Modified: | 30 Oct 2024 17:26 |
URI: | http://repository.essex.ac.uk/id/eprint/18564 |