Improved Genetic Algorithm In The Application of Ceramic Body Formula Optimization
In this paper,ceramic body is taken as the example to establish the mathematical model of multi-objective optimization for ceramic body formula by parallel selection.An improved genetic algorithm is presented to solve the “premature convergence and inefficiency during the following period of the evolution.After experimental verification, this method produced the results with high precision and narrow tolerance to optimize the formula.
Yun Yang Jie Cheng
Institute of Electrical and Information Engineering of Shaanxi University of Science and Technology of Xi’an, Shaanxi, 710021, P.R.China
国际会议
桂林
英文
1-6
2010-11-16(万方平台首次上网日期,不代表论文的发表时间)