Development of Metrics for Multiobjective Optimization of Environmental Remediation Problems

本研究项目致力于比较可应用于环境系统设计的各种进化多目标优化方法，作为开发环境补救决策工具的更大研究的一部分。该项目的主要目标是通过(A)评估当前使用的最常见的指标，(B)开发新的指标，(C)对现实世界应用中的指标进行全面研究，以及(D)对现有的和新提出的指标进行敏感性分析，从而促进关于进化多目标优化的知识。作为该项目的一部分，这项研究将对进化算法和多目标优化领域的计算机科学和运筹学做出贡献，并将对环境修复的决策具有重要意义。该项目涉及PI与高级信息学国家实验室(墨西哥拉尼亚，哈拉帕)的Carlos Coello博士和墨西哥水技术研究所(IMTA，墨西哥库埃纳瓦卡)的Carlos Mariano博士的合作。合作将采取通过互联网交流、调查人员每两年举行一次会议和交换研究生的形式。该项目将为密歇根理工大学、Lania和IMTA之间的长期合作奠定基础。***

0083112MayerThis research project focuses on the development of metrics for comparing various evolutionary multiobjective optimization methods that may be applied to the design of environmental systems, as part of a larger study for developing decision-making tools for environmental remediation. The main objective of this project is to advance the knowledge on evolutionary multiobjective optimization by (a) assessing the most common metrics currently in use, (b) developing new metrics, (c) conducting a comprehensive study of metrics in a real-world application and (d) conducting a sensitivity analysis of the existing and newly proposed metrics. The research developed as part of this project will make contributions to both computer science and operations research in the areas of evolutionary algorithms and multiobjective optimization, and will have important implications in decision making for environmental remediation. This project involves collaboration of the PI with Dr. Carlos Coello at the National Laboratory for Advanced Informatics (LANIA, Xalapa, Mexico) and Dr. Carlos Mariano at the Mexican Institute for Water Technology (IMTA, Cuernavaca, Mexico). The collaboration will take the form of communication via internet, biannual meetings of the investigators and the exchange of graduate students. This project will lay the groundwork for a long-term collaboration between Michigan Technological University, LANIA and IMTA. ***