| 基于激励遗传算法的动态时间/费用优化 |
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| 引用本文： | 李红仙,宣卫红,谈飞,张云宁.基于激励遗传算法的动态时间/费用优化[J].系统工程学报,2007,22(3):333-336. |
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| 作者姓名： | 李红仙 宣卫红 谈飞 张云宁 |
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| 作者单位： | 1. 河海大学商学院,江苏,南京,210098
2. 金陵科技学院,江苏,南京,210001 |
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| 摘 要： | 人们在处理网络计划的优化问题时,往往忽视了资金的时间价值,而且取得项目最大净现值的技术开发已经大大落后于对资源配置与资源优化的分析.本文建立了动态时间/费用优化的数学模型,提出了改进的激励遗传算法,并且将激励遗传算法应用于模型的求解.最后,通过分析比较,得出动态时间/费用优化的结论才更为可靠与准确的结论.
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| 关 键 词： | 遗传算法 网络计划 时间/费用优化 时间价值 |
| 文章编号： | 1000-5781（2007）03-0333-04 |
| 收稿时间： | 2004-08-09 |
| 修稿时间： | 2004-08-092006-04-24 |
Research on the application of improved genetic algorithm in dynamic time/cost trade-off |
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| LI Hong-xian,XUAN Wei-hong,TAN Fei,ZHANG Yun-ning.Research on the application of improved genetic algorithm in dynamic time/cost trade-off[J].Journal of Systems Engineering,2007,22(3):333-336. |
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| Authors: | LI Hong-xian XUAN Wei-hong TAN Fei ZHANG Yun-ning |
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| Institution: | 1 .Business School, Hohai University, Nanjing 210098, China; 2. Jinling Insitute of Technology, Nanjing 210001, China |
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| Abstract: | The time value of capital is often ignored when network planning is optimized,and the technique of obtaining the maximum net present value is lagged than the analysis of resource allocation and optimization.In this paper,the dynamic model of time/cost trade-off problem is set up,the improved genetic algorithm(incentive GA) is put up,used to solve time/cost trade-off problem.By analysis and comparison,the conclusion that only dynamic optimization is accurate is drawn. |
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| Keywords: | GA(genetic algorithm) network planning time/cost trade-off time value |
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