Journal of Chongqing Jiaotong University(Natural Science) ›› 2001, Vol. 20 ›› Issue (2): 39-45.
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WANG Shou xu,ZHOU Xue lin
Online:
Published:
王首绪,周学林
Abstract: 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.
Key words: genetic algorithms, digitizing, synthesis distribution, genetic operator
摘要: 建立遗传算法的数学模型,研究遗传算子和求解的边界条件,在双代号网络计划中,将多种资源 (人工、材料、机械 )的消耗数量进行数字化,从而获得多种资源数字的合成分布,按多目标优化的条件,使多种资源均衡使用的数列能够达到最优分布.结果表明,计算速度快,精度高,对技术复杂的大型公路桥梁工程有广泛的运用前景.
关键词: 遗传算法, 数字化, 合成分布, 遗传算子
CLC Number:
U445.1
WANG Shou xu,ZHOU Xue lin. Optimization of multiobjective resource leveling using genetic algorithms[J]. Journal of Chongqing Jiaotong University(Natural Science), 2001, 20(2): 39-45.
王首绪,周学林. 遗传算法优化施工网络计划的多种资源均衡[J]. 重庆交通大学学报(自然科学版), 2001, 20(2): 39-45.
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