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Information Technology Journal

Year: 2012 | Volume: 11 | Issue: 1 | Page No.: 67-75
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Authors

Yuan-Hui Wang

Xiu-Kun Wang

Hong-Fei Teng

Keywords

Research Article

Opposition-based Cooperative Coevolutionary Differential Evolution Algorithm With Gaussian Mutation for Simplified Satellite Module Optimization

Yuan-Hui Wang, Xiu-Kun Wang and Hong-Fei Teng
Layout problem of satellite module is a NP-hard problem with performance constraints. An opposition-based Cooperative Coevolutionary Differential Evolution algorithm with Gaussian mutation (OCCDEG) is developed here to solve this problem. In the proposed algorithm, the whole population was divided into several subpopulations. Cooperating with each other, these subpopulations evolve together to search the optimal solution. The cooperative coevolution decreases the complexity of problems and improves the convergence rate of the algorithm. The Opposition-Based Learning (OBL), employed for population initialization and evolution, enhances the exploration capability of the algorithm and improves the convergence rate of the algorithm. The Gaussian mutation operator enhances the local search of the algorithm. The experimental results from a layout design of simplified satellite module show that, compared with other algorithms in this paper, OCCDEG obtains the competitive computational efficiency and precision.
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