A dual-system cooperative co-evolutionary algorithm for satellite equipment layout optimization

This paper develops a new dual-system cooperative co-evolutionary algorithm for multi-modules (or multi-bearing plate) satellite equipment layout optimization problem, based upon the Potter's cooperative co-evolutionary framework. Firstly, a new dual-system framework based on the Potter's cooperative co-evolutionary is constructed and then, corresponding system decomposition rule, matrix analysis method and coordination mechanism are presented. Finally, the way of matching algorithms (e.g. evolutionary algorithms and swarm intelligence algorithms) with systems A and B in the dual system is presented. The purpose is to enhance the computational accuracy and robustness of the developed algorithm for satellite equipment layout optimization problem. The experimental results show that the developed algorithm has better computational accuracy and robustness (computational success ratio and standard deviation) as compared with four dual-system algorithms and two single-system algorithms based upon Potter's cooperative co-evolutionary.