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Original Articles

Maximizing benefits in project selection: a hybrid approach

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References

  • Azmi, R., M. Tamiz,2010. A review of Goal Programming for Portfolio Selection In: New Developments in Multiple Objective and Goal Programming Jones D., Tamiz J., Ries J,(eds.) 163. Berlin: Springer.
  • Blanco, V., L. Carpente, Y. Hinojosa, and J. Puerto. 2010. “Planning for Agricultural Forage Harvesters and Trucks: Model, Heuristics, and Case Study.” Networks and Spatial Economics 10 (3): 321–343. doi:10.1007/s11067-009-9120-0.
  • Dietvorst, B. J., J. P. Simmons, and C. Massey. 2015a. “Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err.” Journal of Experimental Psychology: General 144 (1): 114–126. doi:10.1037/xge0000033.
  • Dietvorst, B. J., J. P. Simmons, and C. Massey. 2015b. Overcoming Algorithm Aversion: People Will Use Algorithms If They Can (Even Slightly) Modify Them. Working paper Available at SSRN. 2616787.
  • Fooks, J.R, and K. D. Messer. 2012a. Is the Best Really Always the Best? A Monte Carlo Evaluation of a Hybrid Optimization Approach for Project Targeting under Benefit Uncertainty. Working Paper, Lerner School of Business and Economics.
  • Fooks, J. R., and K. D. Messer. 2012b. “Maximizing Conservation and In-Kind Cost Share: Applying Goal Programming to Forest Protection.” Journal of Forest Economics 18 (3): 207–217. doi:10.1016/j.jfe.2012.04.001.
  • Fooks, J. R. 2014. “Essays on computational applications in land and environmental economics” Ph.D. Dissertation in Economics, University of Delaware.
  • Grand, L., K. D. Messer, and W. Allen III. 2016. Understanding and Overcoming the Barriers for Cost-Effective Conservation. Applied Economics Statistics Research Report, University of Delaware, RR16806.
  • Gupta, A., and G. W. Evans. 2009. “A Goal Programming Model for the Operation of Closed-Loop Supply Chains.” Engineering Optimization 41 (8): 713–735. doi:10.1080/03052150902802242.
  • Heidenberger, K., and C. Stummer. 1999. “Research and Development Project Selection and Resource Allocation: A Review of Quantitative Modeling Approaches.” International Journal of Management Reviews 1 (2): 197–224. doi:10.1111/1468-2370.00012.
  • Kaiser, H. M., and K. D. Messer. 2011. Mathematical Programming for Agricultural, Environmental, and Resource Economics. Hoboken, NJ: Wiley & Sons Publishing.
  • Li, Z. F., S. Y. Wang, and X. T. Deng. 2000. “A Linear Programming Algorithm for Optimal Portfolio Selection with Transaction Costs.” International Journal of Systems Science 31: 1. doi:10.1080/002077200291514.
  • Liu, Z., K. D. Messer, M. A. Korch, and T. Bounds, 2011. Applying Optimization to the Conservation Project Selection Process: A Case Study of Readiness and Environmental Protection Initiative. Agricultural & Applied Economics Association’s 2011 AAEA & NAREA Joint Annual Meeting.
  • Marsten, R. E., M. R. Muller, and C. L. Killion. 1979. “Crew Planning at Flyer Tiger: A Successful Application of Integer Programming.” Management Science 25 (12): 1175–1183. doi:10.1287/mnsc.25.12.1175.
  • Messer, K. D. 2006. “The Conservation Benefits of Cost-Effective Land Acquisition: A Case Study in Maryland.” Journal of Environmental Management 79 (3): 305–315. doi:10.1016/j.jenvman.2005.07.008.
  • Messer, K. D., W. Allen, M. Kecinski, and C. Chen. 2016a. “Agricultural Preservation Professionals’ Perception and Attitudes about Cost-Effective Land Selection Methods.” Journal of Soil & Water Conservation 71 (2): 148–155. doi:10.2489/jswc.71.2.148.
  • Messer, K. D., and W. L. Allen. 2010. “Applying Optimization and the Analytic Hierarchy Process to Enhance Agricultural Preservation Strategies in the State of Delaware.” Agricultural and Resource Economics Review 39 (3): 442–456. doi:10.1017/S1068280500007437.
  • Messer, K. D., M. Kecinski, X. Tang, and R. H. Hirsch. 2016b. “Multiple-Knapsack Optimization in Land Conservation: Results from the First Cost-Effective Conservation Program in the United States.” Land Economics 92 (1): 117–130. doi:10.3368/le.92.1.117.
  • Polasky, S., J. D. Camm, and B. Garber-Yonts. 2001. “Selecting Biological Reserves Cost-Effectively: An Application to Terrestrial Vertebrate Conservation in Oregon.” Land Economics 77 (1): 68–78. doi:10.2307/3146981.
  • Prendergast, J. R., R. M. Quinn, and J. H. Lawton. 1999. “The Gaps between Theory and Practice in Selecting Nature Reserves.” Conservation Biology 13 (3): 484–492. doi:10.1046/j.1523-1739.1999.97428.x.
  • ReVelle, C. S., J. C. Williams, and J. J. Boland. 2002. “Counterpart Models in Facility Location Science and Reserve Selection Science.” Environmental Modeling & Assessment 7 (2): 71–80. doi:10.1023/A:1015641514293.
  • Sharpe, W. F. 1967. “A Linear Programming Algorithm for Mutual Fund Portfolio Selection.” Management Science 13 (7): 499–510. doi:10.1287/mnsc.13.7.499.
  • Underhill, L. G. 1994. “Optimal and Suboptimal Reserve Selection Algorithms.” Biological Conservation 70 (1): 85–87. doi:10.1016/0006-3207(94)90302-6.
  • Whetzel, M., Chair of Fund for Women Selection Committee. Personal communication, June 29, 2012.
  • Young, M. R.,1998 A Minimax Portfolio Selection Rule with Linear Programming Solution. Management Science 445:673–683.

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