An Infeasible Solution Fix Technique-based Hybrid Genetic Algorithm for Constrained Optimization
In the paper, new approaches for facility distribution in chemical plant are proposed including the improved non-overlapping constraint-handing based on projection relationships of facilities and novel toxic gas dispersion constraints. In consideration of the large number of variables in the plant layout model, our new method can significantly reduce the number of variables by their own projection relationships. Also, as toxic gas dispersion is a usual incident in chemical plant, a simple approach to describe the gas leakage is proposed which can clearly present the constraints of potential emission source and sitting facilities. For solving the plant layout model, an improved genetic algorithm (GA) based on infeasible solution fix technique is also proposed in this work which strengthens the globe search ability of GA. The experiment and comparison of case study show that our method can obtain a better layout plan, and the safety factors such as gas dispersion and minimum distances can be handled well in the solution as well.
plant layout non-overlapping constraints toxic gas dispersion genetic algorithm
Xu Yuan Wang Zhen-Yu Zhu Qun-Xiong
College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, 100
国内会议
厦门
英文
1-7
2012-08-01（万方平台首次上网日期，不代表论文的发表时间）