A hybrid genetic algorithm for multiobjective problems with activity analysis-based local search

Gerald Whittaker, Remegio Confesor , Stephen M. Griffith, Rolf Färe, Shawna Grosskopf, Jeffrey J. Steiner, George W. Mueller-Warrant and Gary M. Banowetz

European Journal of Operational Research, 2009, vol. 193, issue 1, 195-203

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.

Keywords: Activity; analysis; Data; envelopment; analysis; Genetic; algorithms; Multiple; criteria; analysis; Parallel; computing (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:193:y:2009:i:1:p:195-203

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