Location Problem Based on Immune Optimization

Abstract

This paper presents the site selection of disaster response and rescue system, uses cloud logistics coverage model to construct multi-objective programming, uses immune optimization algorithm to simulate biological immune system to reach the optimal two-dimensional coordinates of address are (130.73, 80.43) and so on. It shortens a lot of rescue time and has a positive impact. cloud logistics coverage model reduces service radius and increases transportation flexibility. Immune optimization algorithm has stronger global search ability than genetic algorithm.