沿道騒音対策の選択手法に対する組合せ最適化アルゴリズムの適用

概要

論文の詳細を見る
Since the control of noise pollution is implemented as a public work in Japan, it is important to enforce the control measures with the greatest effect and at a minimum investment. The areas affected by noise pollution are numerous, and the countermeasures to be taken against noise are various. It is most important, therefore, to decide which measures should be applied and to which locations in order to decrease the level of noise as much as possible at a constant cost. However, the number of combinations of measures and locations is so huge that it is difficult to find optimal solutions manually. With such a background, the purpose of this study is to present a new selection technique, for the optimal measures against noise pollution in city areas, through a computer simulation. In this paper, the application of a genetic algorithm is proposed which can search for practical optimal solutions, on the basis of the theory of natural selection, without performing all searches. Numerical simulations are performed to verify the validity of the proposed method. This method is worthwhile in its practical use for performing countermeasures against road traffic noise over a widespread area and incorporates a balance between the environment and costs.