The Research and Application of Quantity Cost Optimization Based on Genetic Algorithms

摘要：

In this essay, Genetic Algorithms with its comprehensive search capability and robustness is used to resolve the system availability optimization problem in a number of constraints(cost, reliability and so on), and an example is shown with FYXF-03 dynamotor prime mover system simulator . This method is able to optimize the distribution of a variety of constraints and harmonize the reliabilities and costs so that the system can achieve its maximum optimum availability, and reduce the frequency of later system failures.

关键词： Genetic Algorithms Quantity Cost System Reliability

作者: Liu Juemin Liu Peng Huang Cimei Song Junying Lv Lizhao Fu Yi

作者单位: Hunan University, Hunan, 410012, China Wuhan University, Hubei, 430072, China Huazhong University of Science and Technology, Hubei, 430072, China Hunan Provincial Electric Power Dispatching and Communication Bureau, Hunan, 410082, China

会议类型: 国际会议

会议名称: 第三届电工产品可靠性与电接触国际会议(The 3rd International Conference on Reliability of Electrical Products and Electrical Contacts)

会议地点: 温州

会议语种:英文

页码: 479-482

在线出版日期: 2009-10-18（万方平台首次上网日期，不代表论文的发表时间）