Cleaner production for continuous digester processes based on hybrid Pareto genetic algorithm
Pulping production process produce large amount of wastewater and pollutant emitted, which has become one of the main pollution sources in pulp and paper industry. To solve this problem, it is necessary to implement cleaner production by using modeling and optimization technology. This paper studies the model and multi-objective genetic algorithms for continuous digester process. A model is established, in which environmental pollution and saving energy factors are considered. A hybrid genetic algorithm based on Pareto stratum-niche count is designed for finding near-Pareto or Pareto optimal solutions in the problem. A new genetic evaluation and selection mechanism is proposed. Using the real data from a pulp mill shows the results of computer simulation. Through comparing with the practical curve of digester,this method can reduce the pollutant effectively and increase the profit while keeping the pulp quality constant.
作 者： JIN Fu-jiang WANG Hui LI Ping 作者单位： Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China 刊 名： 环境科学学报(英文版) ISTIC SCI 英文刊名： JOURNAL OF ENVIRONMENTAL SCIENCES 年，卷(期)： 2003 15(1) 分类号： X793 关键词： cleaner production multi-objective optimization genetic algorithm Pareto stratum concentration of residual alkali Kamyr continuous digester Introduction