Model of spare parts optimization based on estimation of distribution algorithms

作者：Liu Xin Liang^*; Zhang Tao; Guo Bo

来源：Systems Engineering-Theory & Practice, 2009, 29(2): 144-150.

• Estimation of distribution algorithms
• Evolution algorithms
• Model-based
• Random samplings
• Simulation results
• Spare parts optimization problem
• System reliability

Estimation of Distribution Algorithms (EDAs) is a new kind of evolution algorithm. In EDAs, through the statistics of the information of selected individuals in current group, the probability of the individual distribution in next generation is given and the next generation of group is formed by random sampling. In this paper, the EDAs is applied to solve the spare parts optimization, and the model of spare parts optimization based on EDAs is given. The influence of several strategies, such as population selection proportion, elitist reserved on the algorithm are analyzed. Simulation results show that the model based on EDAs is reliable and effective for solving the spare parts optimization problem.

• 出版日期2009