【摘要】 为了应对应急救灾初期资源储备不足的情况,本文提出了一个兼顾时效性与公平性的多目标应急救灾物资的选址—配送模型。其中一个目标为总体成本,包括时间成本、运输成本和配送中心运营成本,另一个目标是物资短缺数量,将物资分配与灾区紧迫程度结合,以期实现最大化的公平。同时提出了一个多目标超启发式优化框架来解决所提多目标问题。在该框架中,提出了3种高层选择策略和4个接受准则,以提高多目标超启发式框架的性能。通过实验,确定了模型参数,证明了所提模型的有效性。并引入3个评价指标,实验对比分析表明所提多目标算法在3个评价指标上优越于NSGA-II以及多目标粒子群算法(MOPSO)。更多还原

【Abstract】 In order to cope with the shortage of resources in the initial stage of emergency relief, this paper proposes a multi-objective location-distribution model of emergency relief materials, which considers timeliness and fairness. One target is overall cost, including time cost, transportation cost and distribution center operating costs, and the other is shortage quantity, which combines distribution of supplies with the urgency of the disaster area to maximize equity. A multi-objective hyper-heuristic optimization framework is proposed to solve the multi-objective problem. In this framework, three high-level selection strategies and four acceptance criteria are proposed to improve the performance of the proposed algorithms. Through experiments, the model parameters are determined, and the validity of the proposed model is proved. Three evaluation indexes are introduced. Comparative experimental analysis shows that the proposed multi-objective algorithm is superior to NSGA-II and multiple objective particle swarm optimization(MOPSO) in the three evaluation indexes adopted.更多还原