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复杂非线性公用工程系统的遗传算法最优设计
引用本文:袁一,尹洪超.复杂非线性公用工程系统的遗传算法最优设计[J].大连理工大学学报,1997,37(6):674-678.
作者姓名:袁一  尹洪超
作者单位:[1]大连理工大学化工学院 [2]大连理工大学动力工程系
基金项目:国家自然科学基金,辽宁省博士起动基金
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。

关 键 词:公用工程系统  遗传算法  化工过程  最优设计

Study of complicated nonlinear utility system optimization with continuous genetic algorithm
Yuan,Yi.Study of complicated nonlinear utility system optimization with continuous genetic algorithm[J].Journal of Dalian University of Technology,1997,37(6):674-678.
Authors:Yuan  Yi
Abstract: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.
Keywords:nonlinear programming/utility system  continuous form  genetic algorithm
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