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首页> 外文期刊>Proceedings of the Arkansas Academy of Science >Construction Resource Allocation Using a Genetic Algorithm
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Construction Resource Allocation Using a Genetic Algorithm

机译：基于遗传算法的施工资源分配

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摘要

A proper allocation of limited resources (men, machines, materials, and money) is critical in a construction project. Traditionally, resource allocation problems have been solved using methods in operations research (OR), such as mathematical programming. In recent years, genetic algorithms (GA) have emerged as an effective optimization methodology, One major advantage of the GA approach over the OR approach is that the GA approach is universal for various types of optimization problems, unlike the OR approach which varies depending on the types of problems at hand. This paper shows an application of GA to a resource allocation problem in the construction industry in which a contractor tries to maximize profit by properly allocating various pieces of heavy equipment to various ongoing construction projects. This type of problem has customarily been solved by the linear programming method. GA has proved to be quite an attractive alternate to the OR method. Since the GA method is more universal than the OR method, the program can be easily modified to solve other types of problems. A description of a computer program written in Visual Basic is also presented.
机译：适当分配有限的资源（人，机器，材料和金钱）对于建筑项目至关重要。传统上，已经使用运筹学（OR）中的方法（如数学编程）解决了资源分配问题。近年来，遗传算法（GA）逐渐成为一种有效的优化方法。与OR方法相比，GA方法的主要优势在于，GA方法对于各种类型的优化问题都是通用的，而OR方法则因问题类型。本文展示了遗传算法在建筑行业中的资源分配问题中的应用，在该行业中，承包商试图通过将各种重型设备适当地分配到各种正在进行的建筑项目中来最大化利润。这类问题通常是通过线性规划方法解决的。事实证明，GA是OR方法的一种颇具吸引力的替代方法。由于GA方法比OR方法更具通用性，因此可以轻松修改程序以解决其他类型的问题。还介绍了用Visual Basic编写的计算机程序的描述。

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