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、包裹制造商、货运代理公司、收货人、保险公司和政府只是参与将危险商品从原产地安全运输到目的地的几个方面。危险品运输问题是一个典型的多目标优化问题，由于涉及的风险引起了公众对危险物质运输问题的高度关注，使得这些问题的解决变得更加复杂。因此，以安全、高效和经济的方式设计和运行危险(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、与运输相关的环境成本(例如温室气体排放)以及与运输相关的风险(例如废物的处理和存储)。手头的挑战具有多目标和动态的特点，因此有必要创建能够在合理时间内产生高质量三维有效边界的有效算法。我们的研究将探索和发展这类数学模型和启发式算法问题。

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.