考虑公众风险的多目标医疗废物选址路径问题及樽海鞘算法求解

针对医疗废物处理中心的选址路径问题，在考虑公众风险的情况下，构建多目标优化模型。首先，分别从政府、公众和处理中心承包商角度出发，构建了以运营成本、风险成本以及运输成本最小化的多目标选址路径模型；其次，针对所构建模型的特点，设计了一种改进的多目标樽海鞘算法对模型进行求解；最后，以四川省成都市的医疗废物处理中心的规划项目为例，对构建的模型和算法进行验证，通过优化结果的对比分析，验证了模型的可行性和算法的有效性。

Salp swarm algorithm for multi-objective medical waste location-routing problem considering public risk

For the location-routing problem of medical waste treatment centers, this paper proposed a multi-objective optimization model considering the public risk. Firstly, from the perspective of the government, the public and the processing center contractor. this paper established the mathematical model which simultaneously considered the operation cost, public risk and transportation cost Secondly, according to the characteristics of the constructed model, this paper designed an improved multi-objective salp swarm algorithm to solve the problem. Finally, taking the planning projects of the medical waste treatment center in Chengdu, Sichuan province as an example, this paper verified the feasibility of the model and the effectiveness of the algorithm through the method of comparative analysis.