Paradigms for intelligent decision support
Proceedings of the NATO Advanced Study Institute on Intelligent Decision Support on Intelligent decision support in process environments
Combining convergence and diversity in evolutionary multiobjective optimization
Evolutionary Computation
Pareto-Front Exploration with Uncertain Objectives
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
IEEE Computer Graphics and Applications
Challenges in Visual Data Analysis
IV '06 Proceedings of the conference on Information Visualization
Joint Cognitive Systems
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Environmental Modelling & Software
Introducing robustness in multi-objective optimization
Evolutionary Computation
Environmental Modelling & Software
Challienges for visual analytics
Information Visualization
How to avoid a perfunctory sensitivity analysis
Environmental Modelling & Software
Environmental Modelling & Software
Space, time and visual analytics
International Journal of Geographical Information Science - Geospatial Visual Analytics: Focus on Time Special Issue of the ICA Commission on GeoVisualization
The evolution of optimality: de novo programming
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Many-Objective optimization: an engineering design perspective
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
The value of online adaptive search: a performance comparison of NSGAII, ε-NSGAII and εMOEA
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Environmental Modelling & Software
Environmental Modelling & Software
Many objective robust decision making for complex environmental systems undergoing change
Environmental Modelling & Software
Borg: An auto-adaptive many-objective evolutionary computing framework
Evolutionary Computation
Many objective visual analytics: rethinking the design of complex engineered systems
Structural and Multidisciplinary Optimization
Environmental Modelling & Software
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This paper proposes and demonstrates a new interactive framework for sensitivity-informed de Novo planning to confront the deep uncertainty within water management problems. The framework couples global sensitivity analysis using Sobol' variance decomposition with multiobjective evolutionary algorithms (MOEAs) to generate planning alternatives and test their robustness to new modeling assumptions and scenarios. We explore these issues within the context of a risk-based water supply management problem, where a city seeks the most efficient use of a water market. The case study examines a single city's water supply in the Lower Rio Grande Valley (LRGV) in Texas, using a suite of 6-objective problem formulations that have increasing decision complexity for both a 10-year planning horizon and an extreme single-year drought scenario. The de Novo planning framework demonstrated illustrates how to adaptively improve the value and robustness of our problem formulations by evolving our definition of optimality while discovering key tradeoffs.