Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
481745 | European Journal of Operational Research | 2009 | 9 Pages |
Abstract
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. We specified a hybrid genetic algorithm using activity analysis as a local search method, and NSGA-II for calculation of the multiple objective Pareto optimal set. We describe a parallel computing approach to computation of the genetic algorithm, and apply the algorithm to evaluation of an input tax to regulate pollution from agricultural production.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Gerald Whittaker, Remegio Confesor Jr., Stephen M. Griffith, Rolf Färe, Shawna Grosskopf, Jeffrey J. Steiner, George W. Mueller-Warrant, Gary M. Banowetz,