| 基于改进GSO的裂解炉原料切换策略研究(英文) |
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| 引用本文： | 年笑宇,王振雷,钱锋.基于改进GSO的裂解炉原料切换策略研究(英文)[J].中国化学工程学报,2015,23(1):181-191. |
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| 作者姓名： | 年笑宇 王振雷 钱锋 |
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| 作者单位： | Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China |
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| 基金项目： | Supported by the Major State Basic Research Development Program of China(2012CB720500);the National Natural Science Foundation of China(Key Program:U1162202),the National Natural Science Foundation of China(61174118);the National High-Tech Research and Development Program of China(2012AA040307);Shanghai Key Technologies R&D program(12dz1125100);Shanghai Leading Academic Discipline Project(B504) |
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| 摘 要： | The scheduling process of cracking furnace feedstock is important in an ethylene plant. In this paper it is described as a constraint optimization problem. The constraints consist of the cycle of operation, maximum tube metal temperature, process time of each feedstock, and flow rate. A modified group search optimizer is pro-posed to deal with the optimization problem. Double fitness values are defined for every group. First, the factor of penalty function should be changed adaptively by the ratio of feasible and general solutions. Second, the“excel-lent”infeasible solution should be retained to guide the search. Some benchmark functions are used to evaluate the new algorithm. Final y, the proposed algorithm is used to optimize the scheduling process of cracking furnace feedstock. And the optimizing result is obtained.
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| 关 键 词： | Cracking furnace Scheduling of feedstock Group search optimizer Adaptive penalty function Double fitness values |
| 收稿时间： | 2014-01-02 |
Strategy of changing cracking furnace feedstock based on improved group search optimization |
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| Xiaoyu Nian;Zhenlei Wang;Feng Qian.Strategy of changing cracking furnace feedstock based on improved group search optimization[J].Chinese Journal of Chemical Engineering,2015,23(1):181-191. |
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| Authors: | Xiaoyu Nian;Zhenlei Wang;Feng Qian |
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| Affiliation: | Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China |
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| Abstract: | The scheduling process of cracking furnace feedstock is important in an ethylene plant. In this paper it is described as a constraint optimization problem. The constraints consist of the cycle of operation, maximum tube metal temperature, process time of each feedstock, and flow rate. A modified group search optimizer is pro-posed to deal with the optimization problem. Double fitness values are defined for every group. First, the factor of penalty function should be changed adaptively by the ratio of feasible and general solutions. Second, the“excel-lent”infeasible solution should be retained to guide the search. Some benchmark functions are used to evaluate the new algorithm. Final y, the proposed algorithm is used to optimize the scheduling process of cracking furnace feedstock. And the optimizing result is obtained. |
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| Keywords: | Cracking furnace Scheduling of feedstock Group search optimizer Adaptive penalty function Double fitness values |
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