摘要
提出了公用工程系统参数优化的改进模型，结合算例给出了详细的建模方法．模型包含非凸非线性费用目标函数和复杂非线性约束方程．在传统优化算法难以求解的情况下，采用改进的连续化遗传算法获得了理想的结果．
The paper presents an improved non linear programming(NLP) model for utility system optimization with a numerical example. The presentation accounts simultaneously for the non convex and non linear cost function, the complicated relations of steam properties, and the constraints of turbine work generating process. After several traditional algorithms failed to solve the model, the continuous genetic algorithm is used, and the numerical results show that the model and the algorithm involved are effective.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
1997年第6期674-678,共5页
Journal of Dalian University of Technology
基金
国家自然科学基金
辽宁省博士起动基金
关键词
公用工程系统
遗传算法
化工过程
最优设计
nonlinear programming/utility system
continuous form
genetic algorithm
