Abstract
This study is concerned with methods for optimizing restoration process of damaged lifelines by earthquakes. We developed algorithms by using Simple Genetic Algorithms (Simple GA) and Hybrid Genetic Algorithms (Hybrid GA) for deciding the priority of component to restore. Simulation results show that Hybrid Genetic Algorithms is useful tool.
We also apply Single Populated Genetic Algorithms (SPGA) to distribute restoration teams at damaged sites for optimizing the restoration process of lifeline networks.
