摘要
提出了将传统的遗传算法与Alopex算法结合在一起的混合算法。该算法充分发挥了遗传算法和Alopex算法的优越性 ,可提高传统遗传算法的计算精度和计算速度 ,并且有利于遗传算法跳出局部最优值达到全局最优值。在此基础上提出了同时考虑换热网络投资费用与操作费用的换热网络综合的数学模型 ,该模型采用遗传 Alopex混合算法进行求解可得到较好的结果 ,实例计算表明 。
The mixed algorithms of genetic algorithms and Alopex algorithms(algorithms of pattern extraction)were brought forward.The new algorithms not only sufficiently exert the advantages of the two algorithms,but also improve the computing precision and speed,which propitiously make genetic algorithms to break away form local extremum and get the whole extremum.A mathematic model of heat exchanger network synthesis considering the capital cost and operation cost simultaneously was put forward.Better results can be acquired by using the mixed algorithms to solve the model.An example solved using the said method showed that the calculation result was better than that of cited in the literature.
出处
《石油炼制与化工》
CAS
CSCD
北大核心
2001年第7期52-56,共5页
Petroleum Processing and Petrochemicals
关键词
遗传算法
ALOPEX算法
换热网络
优化
非线性规则
数学模型
mathematic model
genetic algorithms
algorithms of pattern extraction
heat exchanger network
optimization
nonlinear programming
