Application of Evolutionary Computing to Disaster Restoration and Prevention Problems
Hitoshi Furuta, Koichiro Nakatsu · 2011
In this paper, an attempt is made to apply evolutionary computing for earthquake disaster restoration and prevention problems. The relationships among early restoration, minimization of life-cycle cost and target safety level of road network are discussed by using multi-objective genetic algorithm. A comprehensive disaster prevention program is developed based on the recognition that road networks may be unavoidably damaged when very strong earthquakes occur. By introducing the concept of multi-objective optimization into the restoration and prevention scheduling for earthquake disasters, it is possible to find out several near-optimal restoration and prevention scheduling plans.