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

Author

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

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.

Suggested Citation

  • Whittaker, Gerald & Confesor Jr., Remegio & Griffith, Stephen M. & Färe, Rolf & Grosskopf, Shawna & Steiner, Jeffrey J. & Mueller-Warrant, George W. & Banowetz, Gary M., 2009. "A hybrid genetic algorithm for multiobjective problems with activity analysis-based local search," European Journal of Operational Research, Elsevier, vol. 193(1), pages 195-203, February.
    • Handle: RePEc:eee:ejores:v:193:y:2009:i:1:p:195-203
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    References listed on IDEAS

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    1. Whittaker, Gerald & Färe, Rolf & Grosskopf, Shawna & Barnhart, Bradley & Bostian, Moriah & Mueller-Warrant, George & Griffith, Stephen, 2017. "Spatial targeting of agri-environmental policy using bilevel evolutionary optimization," Omega, Elsevier, vol. 66(PA), pages 15-27.
    2. Valcu, Adriana Mihaela, 2013. "Agricultural nonpoint source pollution and water quality trading: empirical analysis under imperfect cost information and measurement error," ISU General Staff Papers 201301010800004451, Iowa State University, Department of Economics.
    3. Long, Jiancheng & Szeto, W.Y. & Huang, Hai-Jun, 2014. "A bi-objective turning restriction design problem in urban road networks," European Journal of Operational Research, Elsevier, vol. 237(2), pages 426-439.
    4. Lin, Rung-Chuan & Sir, Mustafa Y. & Pasupathy, Kalyan S., 2013. "Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: Specific application to determining optimal resource levels in surgical services," Omega, Elsevier, vol. 41(5), pages 881-892.
    5. Glavan, Matjaž & Miličić, Vesna & Pintar, Marina, 2013. "Finding options to improve catchment water quality—Lessons learned from historical land use situations in a Mediterranean catchment in Slovenia," Ecological Modelling, Elsevier, vol. 261, pages 58-73.

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