Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings

International Conference on Computer Technology and Development, 3rd (ICCTD 2011)

Jianhong Zhou
Jianhong Zhou
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

Reducing power plant maintenance costs is an important way to improve the power enterprises production efficiency, for the current situation that maintenance assessment index is too single and the problem of high complexity is difficult to solve by common maintenance optimization methods, power plant multi-objective maintenance projects optimization model is established and solved by a method of fast-non-dominated-sorting genetic algorithm with elitist strategy (NSGA-II) in this paper. This method overcomes the previous problem of single optimizing assessment index and improves the efficiency and robustness of the problem solving efficiency. By the case study of a 300MW power unit electric feed pump overhaul, it is proved that the establishment and solvent of this model is effective and feasible.

Key Words
1. Introduction
2. Multi-Objective Optimization Model of Power Plant Maintenance Projects
3. Multi-Objective Optimization of Power Plant Maintenance Projects Based on NSGA-II
4. Case Study
5. Conclusion
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal