Application of genetic algorithm to bridge construction management

Y. Natsuaki, H. Furuta, S. Mukandai, K. Yasuda
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引用次数: 5

Abstract

Genetic algorithms (GA) have attracted attention in recent years as a method of solving combinatorial optimization problems. This research is an application of these algorithms to the problem of determining the laying sequence for a continuous girder reinforced concrete floor system. If the number of design variables and the number of combinations are large, it is often impossible to obtain a solution with a simple GA. In this research, we applied GA to a 3-span continuous girder composed of 33 panels, and improved the GA operators. As a result were able to obtain a practical solution.
遗传算法在桥梁施工管理中的应用
遗传算法作为一种求解组合优化问题的方法近年来受到了广泛的关注。本研究是将这些算法应用于连续梁钢筋混凝土楼盖体系敷设顺序的确定问题。如果设计变量的数量和组合的数量很大,通常不可能用简单的遗传算法获得解决方案。在本研究中,我们将遗传算法应用于由33个面板组成的3跨连续梁,并改进了遗传算子。结果我们得到了一个切实可行的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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