A Multi-objective Optimization Framework for Supporting Decisions for Hazardous Waste Transportation and Disposal.

每年在世界各地运输和分发大量危险材料。托运人、承运人、包装制造商、货运代理、收货人、保险公司和政府只是将危险商品从原产地安全运输到目的地的几个参与方。危险品运输是一个典型的多目标优化问题，涉及各方的优先级和观点不同，这使得解决这些问题变得更加复杂，因为由于所涉及的风险，公众对危险品运输问题的关注程度很高。因此，以安全、高效和经济的方式设计和操作危险（核）废物处理过程至关重要。我们的目标是开发有效和创新的优化模型，同时处理这三个主要目标：运输，储存和处理成本，环境成本，例如与运输相关的温室气体排放，以及与运输相关的风险，例如废物的处理和储存。手头的挑战的多目标和动态特性需要创建能够在合理的时间内产生高质量的三维有效边界的有效算法。我们的研究将探索和发展这类问题的数学模型和启发式算法。

Large quantities of hazardous materials are transported and distributed annually throughout the world. Shippers, carriers, package makers, freight forwarders, consignees, insurers, and governments are just a few of the parties involved in securely transporting hazardous commodities from their origins to their destinations. With different priorities and viewpoints involved from various parties, hazmat transportation is a typical multi-objective optimization problem which makes it further complicated to solve these problems as there is a high level of public concern surrounding hazardous material transport problems due to the risks involved. Hence, it is fundamentally important to design and operate hazardous (nuclear) waste processes in a way that is safe, efficient, and economical. Our goal is to develop effective and innovative optimization models that handle these three main objectives simultaneously; the transportation, storage and handling cost, the environmental cost, e.g. greenhouse gas emissions, related to transportation, and risks related to transport, e.g. handling and storage of the waste. The multi-objective and dynamic character of the challenge at hand necessitates the creation of efficient algorithms capable of producing high-quality three-dimensional efficient frontiers in a reasonable time. Our research will explore and develop mathematical models and heuristic algorithms problems of this type.