Genetic algorithm optimizer for blend planning

doi:10.1109/CHICC.2008.4605751

	Genetic algorithm optimizer for blend planning
	Zhao, Xiaoqiang; Liu, Weirong; Wang, Jun
	2008
会议日期	July 16, 2008 - July 18, 2008
会议地点	Kunming, Yunnan, China
关键词	Artificial intelligence Operations research Discrete variables Mathematical optimization techniques Mixed variables Nonlinear problems Optimization techniques Optimizers Planning problem Real-life problems
DOI	10.1109/CHICC.2008.4605751
页码	86-88
英文摘要	Process plant operations planning optimization is a difficult real life problem because it is non-linear, and mixes continuous and discrete variables. These mixed variable problems can't be handled by conventional mathematical optimization techniques without a great deal of effort and operations research knowledge. Genetic Algorithms (GA) is a popular artificial intelligence based optimization techniques. It is easy to use, handles mixed integers, strongly non-linear problems, and quickly finds the global optimum of a problem. So the GA optimizer can solve blend planning problem with non-linear.
会议录	Proceedings of the 27th Chinese Control Conference, CCC
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116868]
专题	电气工程与信息工程学院党委教师工作部（人事处、教师发展中心）
作者单位	College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
推荐引用方式 GB/T 7714	Zhao, Xiaoqiang,Liu, Weirong,Wang, Jun. Genetic algorithm optimizer for blend planning[C]. 见:. Kunming, Yunnan, China. July 16, 2008 - July 18, 2008.