节点文献
网络资源平衡问题的聚类分析优化遗传算法研究
A Study on the Clustering Analysis Optimal Genetic Algorithm for the Network Resource Smoothing Problem
【Author】 NIU Dong - xiao,QI Jian - xun (Department of Economy and Management, North China Electric Power University, Baoding 071003, China)
【机构】 华北电力大学经济管理系;
【摘要】 对工程网络资源平衡的遗传算法的缺陷进行了分析,提出了聚类分析优化遗传算法,通过种群优化分类,使搜索半径不断缩小,实现了自适应连续优化搜索,较大提高了网络优化收敛速度,解的精度及全域寻优能力,通过分析和实例验证,表明该算法对大型工程网络具有明显的优越性,是一种可用于实际工程施工管理的实用型方法。
【Abstract】 This paper analyses the defects of genetic algorithm of resource smoothing in project activity networks. The clustering analysis genetic algorithm for the optimization is proposed. Because the group of seed is optimized to classification, the searching radius is reduced continuously. The self- adaptive and continuous optimum search is realized. The convergence speed, the accuracy of solutions and the capacity of global search in networks have greatly improved. The improving algorithm shows that the method is very efficient for large project networks. This is a practical method and it can be used, to practical project construction management.
【Key words】 resource smoothing; network optimization; clustering analysis; genetic algorithm;
- 【会议录名称】 2001年中国管理科学学术会议论文集
- 【会议名称】2001年中国管理科学学术会议
- 【会议时间】2001-10
- 【会议地点】中国北京
- 【分类号】F224
- 【主办单位】中国优选法统筹法与经济数学研究地、中科院科技政策与管理科学研究所