Title :
Coking Optimization Control Model Based on Hierarchical Multi-objective Evolutionary Algorithm
Author :
Guo, Yi´nan ; Cheng, Jian ; Ma, Xiaoping
Author_Institution :
Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou
Abstract :
Through the analysis of all optimized objectives in coking process, blending ratio is extracted as a key variable, and a model for coking optimization control is presented. Adopting evolutionary algorithm in each layer of multiple multi-objective optimization, hierarchical multi-objective evolutionary algorithm is put forward. Based on this hierarchical structure, four optimization objectives in coking optimization model are grouped into two layers. Detailed evolutionary strategy in each layer is discussed. Simulation results indicate blending ratio computed by the model can increase production efficiency, decrease cost and energy wastage greatly. Comparison of blending ratio computed under different objective weights proves this model can satisfy the requirement of different production objectives. All these show that the model plays an important directive role in coking production structure optimization
Keywords :
coke; evolutionary computation; fuel processing industries; hierarchical systems; optimal control; power system control; blending ratio; coking optimization control; coking process; coking production; evolutionary strategy; hierarchical multiobjective evolutionary algorithm; multiobjective optimization; structure optimization; Algorithm design and analysis; Computational modeling; Cost function; Evolutionary computation; Information analysis; Measurement units; Optimization methods; Power generation economics; Production; Transportation; blending ratio; coking; evolutionary algorithm; hierarchical; multi-objective optimization;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714347