遗传算法优化施工网络计划的多种资源均衡

Optimization of multiobjective resource leveling using genetic algorithms

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 .

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.