徐圆, 王振宇, 朱群雄. An Improved Hybrid Genetic Algorithm for Chemical Plant Layout Optimization with Novel Non-overlapping and Toxic Gas Dispersion Constraints[J]. 中国化学工程学报(英文版), 2013,21(4):412-4191004-954160490-6.
XU Yuan, WANG Zhenyu, ZHU Qunxiong . An Improved Hybrid Genetic Algorithm for Chemical Plant Layout Optimization with Novel Non-overlapping and Toxic Gas Dispersion Constraints[J]. Chin.J.Chem.Eng., 2013, 21(4): 412-419.
徐圆, 王振宇, 朱群雄. An Improved Hybrid Genetic Algorithm for Chemical Plant Layout Optimization with Novel Non-overlapping and Toxic Gas Dispersion Constraints[J]. 中国化学工程学报(英文版), 2013,21(4):412-4191004-954160490-6.DOI: 10.1016/S1004-9541(13)60490-6.
XU Yuan, WANG Zhenyu, ZHU Qunxiong . An Improved Hybrid Genetic Algorithm for Chemical Plant Layout Optimization with Novel Non-overlapping and Toxic Gas Dispersion Constraints[J]. Chin.J.Chem.Eng., 2013, 21(4): 412-419.DOI: 10.1016/S1004-9541(13)60490-6.
An Improved Hybrid Genetic Algorithm for Chemical Plant Layout Optimization with Novel Non-overlapping and Toxic Gas Dispersion Constraints
New approaches for facility distribution in chemical plants are proposed including an improved non-overlapping constraint based on projection relationships of facilities and a novel toxic gas dispersion constraint. In consideration of the large number of variables in the plant layout model
our new method can significantly reduce the number of variables with their own projection relationships. Also
as toxic gas dispersion is a usual incident in a chemical plant
a simple approach to describe the gas leakage is proposed
which can clearly represent 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 proposed
which improves the globe search ability of GA. The case study and experiment show that a better layout plan can be obtained with our method
and the safety factors such as gas dispersion and minimum distances can be well handled in the solution.
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相关作者
Mengyu Liu
Xinping Wang
Lingqi Kong
Ke Li
Bingzhen Chen
Zhihong Yuan
Liang Wang
Zhiquan Wang
相关机构
College of Chemical Engineering, Qingdao University of Science and Technology
State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University
Department of Chemical Engineering, Tsinghua University
Sustainable Management of Natural Resources and Environment Research Group, Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City
Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr