Location Problem Based on Immune Optimization

Ying-zi JIANG, Rong-qing ZHU, Peng-fei ZHANG

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.

Keywords


Cloud cover location allocation model, Immune optimization algorithm


DOI
10.12783/dtcse/aicae2019/31457

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