摘要
针对传统机械优化算法所存在的问题 ,提出了一种基于过程的优化算法。它利用人工神经网络 ,构造过程系统结构空间 ,采用随机涨落机制 ,以模拟退火方式 ,模拟自然界演化过程进行优化 ,以过程的收敛性作为全局最优性判据。最终 。
Aimed at the existing problems of traditional optimizatio n algorithm,a kind of optimization algorithm based on process was proposed.By the use of artificial nerval net (ANN),it constructs structural space of process sys tem.By adopting the mechanism of random fluctuation to carry out optimization of simulating the evolution process of natural world according to simulated mode o f annealing.The astringency of process is taken as the criterion of global optim ality.Finally,the astringent point of process is taken as the optimum solution o f optimization problems.
出处
《机械设计》
CSCD
北大核心
2003年第6期7-9,共3页
Journal of Machine Design
关键词
优化算法
过程
熵
模拟退火
人工神经网络
收敛性
优化设计
optimization algorithm
process
entropy
simulated anneal ing
ANN(Artificial Nerval Net)
astringency
