Abstract
To resolve resource scheduling problem efficiently in manufacturing grid, a multi-objective optimization mathematical model was put forward, which was based on task time, machining quality, cost and service quality. Based on the model, combined with object weight, a genetic algorithm for manufacturing grid resources scheduling process was designed. At the same time, relative fitness which was based on influence degree coefficient was designed to reduce objects' non-standardization error. At last, the results of a scheduling case prove the algorithm's validity.
| Original language | English |
|---|---|
| Pages (from-to) | 1916-1920 |
| Number of pages | 5 |
| Journal | Zhongguo Jixie Gongcheng/China Mechanical Engineering |
| Volume | 17 |
| Issue number | 18 |
| State | Published - 25 Sep 2006 |
Keywords
- Genetic algorithm
- Influence degree coefficient
- Manufacturing grid
- Multi-objective optimization
- Resource scheduling