摘要
利用智能优化理论，采用改进的遗传算法，研究了遗传法在真空科学优化计算中的应用。并以真空冷冻干燥工艺条件的优化为例，采用该算法进行了优化计算。优化结果与用单纯形法所求得的最优解相比较，结果相差不大。
Genetic algorithm is studied for optimization of vacuum science technology,using the intelligent optimization theory.In order to improve efficiency of genetic algorithms ,some new methods about mutation and crossover are used .The method is possible by comparing the results that produced by simple method in the optimization of vacuum freeze drying condition.
出处
《真空与低温》
1999年第1期53-55,共3页
Vacuum and Cryogenics
基金
国家自然科学基金
关键词
遗传算法
真空科学
优化计算
genetic algorithm vacuum science optimization
