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Information Technology Journal
  Year: 2012 | Volume: 11 | Issue: 1 | Page No.: 67-75
DOI: 10.3923/itj.2012.67.75
 
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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

Abstract:
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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How to cite this article:

Yuan-Hui Wang, Xiu-Kun Wang and Hong-Fei Teng, 2012. Opposition-based Cooperative Coevolutionary Differential Evolution Algorithm With Gaussian Mutation for Simplified Satellite Module Optimization. Information Technology Journal, 11: 67-75.

DOI: 10.3923/itj.2012.67.75

URL: https://scialert.net/abstract/?doi=itj.2012.67.75

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