Intelligent Adaptive Genetic Algorithm and Its Application

摘要：

Through analyzing the operating mechanism of the genetic algorithm, intelligent adaptive genetic algorithm (IAGA) is proposed whose crossover probability and mutation probability can be adjusted adaptively. Then IAGA is applied to optimize the weights and thresholds of the forward neural network, and establish soft-sensor model of gasoline endpoint of the main fractionator of fluid catalytic cracking unit. Results show that the method proposed by this paper is feasible and effective in soft-sensing modeling of gasoline endpoint

关键词： genetic algorithms adaptive neural network gasoline endpoint soft sensor

作者: Guochu Chen

作者单位: Electric Engineering School Shanghai DianJi University Shanghai 200240, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 163-166

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）