摘要
针对航天器热控涂层性能退化预测问题，提出了自适应模拟退火回火算法和自适应综合遗传算法。利用美国Tenflon型涂层材料短时间地面模拟实验数据对上述两种算法进行了模型参数求解。并将所得预测曲线与美国9年时间跨度的Teflon型涂层材料地面模拟实验数据进行比较，比较结果表明了模拟退火回火算法以及自适应综合遗传算法对解决航天器热控涂层性能退化预测问题是可行的和有效的。
In this paper, an adaptive simulation annealing backfire algorithm and an adaptive hybrid genetic algorithm are presented to solve the parameter of degenerate models of spacecraft＇s thermal control coats. Using the short-time experimental data of American Teflon type coat materials, the paper establishes the degenerate model of the coat material by the two algorithms. And the long-term performance of degenerate model about the thermal control coats of spacecrafts is forecasted. The forecasting results are compared with the American 9 year practice experimental data. The comparative results indicate that the two algorithms presented in this paper are feasible and effective.
作者
匡正
苏艳梅
杨德庄
李春东
KUANG Zheng, SU Yanmei, YANG Dezhuang, LI Chundong（1 School of Computer Science ＆ Technology, Harbin Institute of Technology, Harbin 150001, China; 2 Beijing 3Corn Inc, Beijing 100020, China）
出处
《智能计算机与应用》
2011年第2X期6-9,13,共5页
Intelligent Computer and Applications
关键词
热控涂层
组合优化算法
模拟退火算法
遗传算法
预测
Thermal Control Coat
Combinatorial Optimization Algorithm
Simulation Annealing Algorithm
Genetic Algorithm
Forecast
