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《Journal of Chongqing Jiaotong Institute》 2001-02
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Optimization of multiobjective resource leveling using genetic algorithms

WANG Shou-xu,\ ZHOU Xue-lin (Department of Highway & Bridge Engineering,Changsha Communication Un iversity,Changsha 410076,China)  
In this paper,a model is founded using Genetic Alg or ithms technique.Genetic operator and facet condition are studied in an arrow net work scheme,and a synthetic distribution is generated by digitizing quantities o f resources(labor, material, mechanics).According to conditions of mult iobjective optimization,a near-optimum solution is obtained.The experiments pro ve it is a method of high speed and high fidelity,and it will be used widely in civil engineering.
【CateGory Index】: U445.1
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