Using the ant algorithm to derive pareto fronts for multiobjective siting of emergency service facilities

摘要: Efficient and timely response during accidents has received increased attention from practitioners researchers. The siting of emergency service facilities (ESFs) plays a crucial role in determining the efficiency safety protection response. This paper explores novel multiobjective ant algorithm for ESFs. With aid geographic information system, finds population solutions, uses Pareto ranking to sort these derives front. It is demonstrated that successfully captures pool nondominated solutions thereby provides decision makers with set alternative solutions. case study also demonstrates how may choose one "best" solution according their preference or determinant criteria.