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Incorporating Deeply Uncertain Factors Into The Many Objective Search Process To Improve Adaptation To Environmental Change, Abigail Ashley Watson
Civil Engineering Graduate Theses & Dissertations
Deep uncertainty refers to situations in which decision makers do not know, or cannot agree upon, the full suite of risks within a planning problem. This thesis reviews frameworks proposed for planning under deep uncertainty. One framework, Many Objective Robust Decision Making (MORDM), combines two techniques: evolutionary algorithm search used to optimize planning alternatives and robust decision making used to sample performance over many plausible factors and choose a robust solution.
We present a methodology that modifies the uncertain input selected within the MOEA search process. Using a case study of water planning in the Lower Rio Grande Valley (LRGV ...