Post-disaster restoration based on fuzzy preference relation and Bean Optimization Algorithm

Abstract

In China, More than 458 cities and more than 50% of the population are distributed in natural disaster-prone areas. It is important to establish a complete post-disaster reconstruction and rehabilitation system to respond to sudden natural disasters. In order to get post-disaster restoration items scheduling, we invited experts to give the fuzzy preference relation coefficients on the restoration items. Then an optimization model was proposed based on the fuzzy preference relation. Inspired by the transmission mode of beans, a novel evolutionary algorithm namely Bean Optimization Algorithm (BOA) is proposed to solve the model and obtain ranking values of the items. The experimental result gives priority to the restoration of basic livelihood of the people and public service facilities. It is people-oriented in line with the principle of earthquake recovery and reconstruction planning of China.