Fundamental Research on Genetic Algorithms

摘要：

　　Genetic Algorithms uses the population selection technology,newer population is generated from current population by cross,mutation and other genetic operations,and gradually make the population to evolve the optimization result.Compared with traditional optimization methods,Genetic Algorithm has two notable characters,one is the latent parallelism and the other is searching in the whole area.And because of its independence,global optimization and implicit parallelism,GA is developed and applied by more and more people,so has been widely used in many fields,such as adaptive control,combinatorial optimization,pattern recognition,machine learning,artificial life and management decisions,etc.

关键词： Genetic Algorithms Implicit Parallelism Global Searching Robustness

作者: Zhou Chang

作者单位: Department of Mathematics, Northwest University, Xian,China;College of Science, Xian University of Posts &Telecommunications, Xian,China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1135-1138

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）