IN11C:
Model Optimization for Multicriteria Decision Making Posters

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Session ID#: 13776

Session Description:
Multi-criteria decision making and optimization in the presence of conflicting objectives arise in a wide variety of disciplines, including earth and space science, operations research, policy allocation, and engineering. Optimization methods including evolutionary algorithms enable characterization of the optimal trade-offs among conflicting objectives (i.e., Pareto frontier). This session will explore the latest advancements in the theory of multi-criteria optimization methods and their application within real-world decision making and decision-support tools. Examples include calibration of hydrologic models, allocation of agricultural and urban policy, productivity and efficiency of operations, and design of mechanical systems, among many others. Integrated modeling frameworks that incorporate models from different disciplines (e.g., linking biophysical processes to economic activities) will be emphasized. Computational cost of integrated modeling is often high, and therefore the session invites contributions regarding meta-models and parallelizable methods. Incorporation of uncertainty and propagation of error within multi-level integrated modeling systems will also be of interest.
Primary Convener:  Bradley L Barnhart, NCASI, Middleton, United States
Conveners:  Bradley L Barnhart, NCASI, Middleton, United States, Michael Strager, West Virginia University, Resource Economics and Management, Morgantown, WV, United States and Moriah Bostian, Lewis & Clark College, Economics, Portland, OR, United States
Chairs:  Bradley L Barnhart, NCASI, Middleton, United States, Michael Strager, West Virginia University, Resource Economics and Management, Morgantown, WV, United States and Moriah Bostian, Lewis & Clark College, Economics, Portland, OR, United States
OSPA Liaison:  Michael Strager, West Virginia University, Resource Economics and Management, Morgantown, WV, United States

Cross-Listed:
  • GC - Global Environmental Change
  • H - Hydrology
  • PA - Public Affairs
Index Terms:

1622 Earth system modeling [GLOBAL CHANGE]
1805 Computational hydrology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
6309 Decision making under uncertainty [POLICY SCIENCES]

Abstracts Submitted to this Session:

Application of an Evolution Strategy in Planetary Ephemeris Optimization (121112)
Enrico Mai, Leibniz University of Hannover, Institute of Geodesy, Hannover, Germany; German Aerospace Center DLR Berlin, Institute of Planetary Research, Berlin, Germany
Modelling a suitable location for Urban Solid Waste Management using AHP method and GIS -A geospatial approach and MCDM Model (126736)
Masud Iqbal1, Ashraful Islam1, Abrar Hossain2 and Sharif Mustaque3, (1)University of Dhaka, Department of Geology, Dhaka, Bangladesh, (2)University of Dhaka, Department of Disaster Science and Management, Dhaka, Bangladesh, (3)Queens College, CUNY, School of Earth and Environmental Sciences, Flushing, NY, United States
Comprehensive evolutionary algorithm (CEA) development for single and multi-objective optimization (133121)
Samaneh Seifollahi, University of California Davis, Davis, CA, United States and Omid Bozorg-Haddad Sr., Associate Professor, University of Tehran, Irrigation & Reclamation Engineering, Tehran, Iran
Optimal Reservoir Operation using Stochastic Model Predictive Control (143816)
Reetik Sahu, Massachusetts Institute of Technology, Cambridge, MA, United States and Dennis McLaughlin, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States
Optimal management of large scale aquifers under uncertainty (189703)
Hojat Ghorbanidehno1, Amalia Kokkinaki2, Peter K Kitanidis3 and Eric F Darve1, (1)Stanford University, Mechanical Engineering, Stanford, CA, United States, (2)Stanford University, Civil and Environmental Engineering, Stanford, CA, United States, (3)Stanford University, Stanford, CA, United States

See more of: Earth and Space Science Informatics