Abstract: A common computing model of genetic algorithm is proposed for aircraft multi-objective topology optimization. According to this model based on P2P computing, the distributed computational resources are pooled into a high performance-computing environment and providing uniform resource service and visible user using interface. The multi-objective optimization grid (MOOG) is put forward to resolve the composite material multi-objective topology optimization in aircraft design and discussed in detail are the grid system architecture and the improved multi-objective genetic algorithm. Finally, the solid experimental results of optimizing one type of high aspect ratio wing show that the MOOG has reduced the computation time and has good parallel acceleration.