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GENOCOP算法在0-1非线性整数规划模型中的应用

The Application of GENOCOP Algorithm in 0-1 Nonlinear Integer Programming Model
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摘要 本文针对某公司电力容量扩展问题,采用一元线性回归模型拟合未来10年的需求量,再建立0-1非线性整数规划模型,并将该模型的0-1变量连续化处理,采用遗传算法中的GENOCOP算法求解。 In this paper,the next 10- year demand of a company for power capacity is fitted by monadic linear regression model. A model for 0 - 1 nonlinear integer programming is built, and the 0 - 1 variables of the model are disposed continuously. It is solved by the GENOCOP algorithm of genetic algorithm.
出处 《长春师范学院学报(自然科学版)》 2011年第5期16-20,共5页 Journal of Changchun Teachers College
基金 湛江师范学院青年教师校级项目(QL0801)
关键词 线性拟合 非线性整数规划模型 GENOCOP算法 linear fitting nonlinear integer programming model GENOCOP algorithm
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