Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.07c
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- Pages.781-783
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- 1997
A Study on Generator Maintenance Scheduling using Genetic Algo
유전알고리즘을 이용한 발전기 예방정비계획 수립에 관한 연구
- Park, Si-Woo (Korea Electric Power Research Institute) ;
- Song, Kyung-Bin (Korea Electric Power Research Institute) ;
- Nam, Jae-Hyun (Korea Electric Power Research Institute) ;
- Jeon, Dong-Hoon (Korea Electric Power Research Institute)
- Published : 1997.07.21
Abstract
Genetic Algorithm is a kind of an evolution programming based on natural evolution principle. It applied to probabilistic searching, machine learning and optimization, and many good results were reported. Generator maintenance scheduling is an optimization Problem with constraints. This paper applied a genetic algorithm to generator maintenance scheduling problem and tested on sample systems. The results are compared with heuristic method and branch-and-bound method.
Keywords