利用遗传算法优化施工网络计划

田军;寇纪淞;李敏强

系统工程理论与实践 ›› 1999, Vol. 19 ›› Issue (5) : 78-82.

PDF(183 KB)
PDF(183 KB)
系统工程理论与实践 ›› 1999, Vol. 19 ›› Issue (5) : 78-82. DOI: 10.12011/1000-6788(1999)5-78
论文

利用遗传算法优化施工网络计划

    田军; 寇纪淞; 李敏强
作者信息 +

Using Genetic Algorithms to Optimize the Resources in Arrow Network Techniques

    Jun TIAN,Ji Song KOU,Min Qiang LI
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摘要

从遗传算法基本原理出发,设计出带有修复算子的约束优化问题求解方法,用于网络计划资源优化,实践证明,该法解题速度快,结果的精确度也高,由此可以看出,遗传算法在解决大型工程的复杂优化问题中有很大优势.

Abstract

Basing on the theorem of genetic algorithm, we design a genetic search with a repairing operator for constraint optimization problems the optimization of resource in arrow network techniques. The experiment proves that GAs is a high speed and high fidelity method, and it will have been widely used in engineering optimization.

关键词

网络计划 / 资源优化 / 遗传算法 / 修复算子

Key words

arrow network technique / resource optimizing / genetic algorithm / repairing operator

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田军 , 寇纪淞 , 李敏强. 利用遗传算法优化施工网络计划. 系统工程理论与实践, 1999, 19(5): 78-82 https://doi.org/10.12011/1000-6788(1999)5-78
Jun TIAN , Ji Song KOU , Min Qiang LI. Using Genetic Algorithms to Optimize the Resources in Arrow Network Techniques. Systems Engineering - Theory & Practice, 1999, 19(5): 78-82 https://doi.org/10.12011/1000-6788(1999)5-78
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