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化学工业与工程 2020, Vol. 37 Issue (4) :58-65    DOI: 10.13353/j.issn.1004.9533.20191916
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一种改进的遗传算法在间歇化工过程设计中的应用
魏良霄, 张婷, 党乐平, 郝琳
天津大学化工学院, 天津 300072
Application of an Improved Genetic Algorithm in the Design of Batch Chemical Process
Wei Liangxiao, Zhang Ting, Dang Leping, Hao Lin
School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China

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摘要 将遗传算法(Genetic Algorithm,GA)和回溯法相结合建立起数学模型对间歇化工过程进行设计,来达到减少设备投资并且提高设备利用率的目的。与一般的启发式方法相比,该模型的搜索范围大,精度高,更适合解决复杂的问题。并且引入自我优化机制和惩罚操作及时修正种群中出现的劣质基因,使种群能够顺利繁衍下去。结果表明,该模型在计算结果、收敛速度和计算速度方面得到了进一步优化。
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魏良霄
张婷
党乐平
郝琳
关键词间歇过程;   遗传算法;   设备投资;   设备利用率     
Abstract: Optimizing management and design of production process is a top priority for all chemical factories to remain competitive in the global market. This paper proposed a model to reduce investment and improve equipment utilization of single product batch process. This model is implemented by combining genetic algorithm (GA) and heuristic method. Compared to general heuristic method, this model has a larger search space and higher precision, which makes it more suitable for solving complex problems. The self-optimization mechanism and punishment operation have been introduced to modify the inferior gene in the population in time, making the population survive smoothly. It is shown that the model has a better performance in terms of calculation results, convergence rate and calculation speed.
Keywordsbatch process;   genetic algorithm;   equipment investment;   equipment utilization     
Received 2019-10-10;
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Corresponding Authors: 党乐平,E-mail:dangleping@tju.edu.cn。     Email: dangleping@tju.edu.cn
About author: 魏良霄(1992-),男,硕士研究生,现从事系统工程方面的研究。
引用本文:   
魏良霄, 张婷, 党乐平, 郝琳.一种改进的遗传算法在间歇化工过程设计中的应用[J].  化学工业与工程, 2020,37(4): 58-65
Wei Liangxiao, Zhang Ting, Dang Leping, Hao Lin.Application of an Improved Genetic Algorithm in the Design of Batch Chemical Process[J].  Chemcial Industry and Engineering, 2020,37(4): 58-65
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