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Gerald Whittaker

Researcher at Agricultural Research Service

Publications -  53
Citations -  1345

Gerald Whittaker is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Data envelopment analysis & Bilevel optimization. The author has an hindex of 20, co-authored 53 publications receiving 1199 citations. Previous affiliations of Gerald Whittaker include Oregon State University & Government of the United States of America.

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An intermediate input model of dairy production using complex survey data

TL;DR: It is found that the decomposition of production into subproduction processes reduces the dimensions of problem specification, with the effect that a larger number of variables may be usefully included in the model.
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Optimization-based trade-off analysis of biodiesel crop production for managing an agricultural catchment

TL;DR: Biophysical trade-offs among bioenergy crop production based on rape seed, food crop production, water quantity, and water quality in the Parthe catchment in Central Germany are analyzed and Pareto optimal frontiers among multiple objectives are estimated.
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Directional output distance functions: endogenous directions based on exogenous normalization constraints

TL;DR: In this article, the authors developed a method for estimating directional output distance functions with endogenously determined direction vectors based on exogenous normalization constraints, which is reminiscent of the Russell measure proposed by Fare and Lovell (J Econ Theory 19:150-162, 1978).
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Automatic Calibration of Hydrologic Models With Multi-Objective Evolutionary Algorithm and Pareto Optimization

TL;DR: This study investigated the application of multi‐objective evolutionary algorithm (MOEA) and Pareto ordering optimization in the automatic calibration of the Soil and Water Assessment Tool (SWAT), a process‐based, semi‐distributed, and continuous hydrologic model.
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A hybrid genetic algorithm for multiobjective problems with activity analysis-based local search

TL;DR: The objective of this research was the development of a method that integrated an activity analysis model of profits from production with a biophysical model, and included the capacity for optimization over multiple objectives.