A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier

Cuiwen Cao; Yakun Zhang; Teng Yu; Xingsheng Gu; Zhong Xin; Jie Li

doi:10.1016/j.cjche.2015.03.005

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A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier

过程系统工程与过程安全 | Updated：2026-01-06

- A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier
- A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier
- 中国化学工程学报（英文版） 2015年23卷第9期页码：1484-1501
- Affiliations：
  
  1. Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology,Shanghai,China,200237
  2. State Key Laboratory of Chemical Engineering, East China University of Science and Technology,Shanghai,China,200237
  3. State Key Laboratory of Multiphase Complex Systems, Institute of Processing Engineering, Chinese Academy of Sciences,Beijing,China,100190
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.03.005
  中图分类号：
- 纸质出版：2015
- Accepted：
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Cuiwen Cao, Yakun Zhang, Teng Yu, 等. A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier[J]. 中国化学工程学报（英文版）, 2015,23(9):1484-1501.

Cuiwen Cao, Yakun Zhang, Teng Yu, Xingsheng Gu, Zhong Xin, Jie Li. A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier[J]. , 2015, 23(9): 1484-1501.
Cuiwen Cao, Yakun Zhang, Teng Yu, 等. A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier[J]. 中国化学工程学报（英文版）, 2015,23(9):1484-1501. DOI： 10.1016/j.cjche.2015.03.005.

Cuiwen Cao, Yakun Zhang, Teng Yu, Xingsheng Gu, Zhong Xin, Jie Li. A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier[J]. , 2015, 23(9): 1484-1501. DOI： 10.1016/j.cjche.2015.03.005.

摘要

Abstract

Optimizing operational parameters for syngas production of Texaco coal-water slurry gasifier studied in this paper is a complicated nonlinear constrained problem concerning 3 BP (Error Back Propagation) neural networks. To solve this model

a new 3-layer cultural evolving algorithmframeworkwhich has a population space

amediumspace and a belief space is firstly conceived. Standard differential evolution algorithm (DE)

genetic algorithm (GA)

and particle swarm optimization algorithm (PSO) are embedded in this framework to build 3-layer mixed cultural DE/GA/ PSO (3LM-CDE

3LM-CGA

and 3LM-CPSO) algorithms. The accuracy and efficiency of the proposed hybrid algorithms are firstly tested in 20 benchmark nonlinear constrained functions. Then

the operational optimization model for syngas production in a Texaco coal-water slurry gasifier of a real-world chemical plant is solved effectively. The simulation results are encouraging that the 3-layer cultural algorithm evolving framework suggests ways in which the performance of DE

PSO and other population-based evolutionary algorithms (EAs) can be improved

and the optimal operational parameters based on 3LM-CDE algorithm of the syngas production in the Texaco coalwater slurry gasifier shows outstanding computing results than actual industry use and other algorithms.

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