AN APPLICATION OF SIMULATION MODELLING AND OPTIMIZATION IN FISHERIES MANAGEMENT

T.H. Truong, F. Azadivar, and K.D.E. Stokesbury

References

  1. [1] C.J. Walter & S.J.D. Martell, Fisheries ecology and management (Princeton and Oxford: Princeton University Press, 2004).
  2. [2] K.D.E. Stokesbury, T. Truong, F. Azadivar, & B.J. Rothschild, A management system for the Atlantic sea scallop using video surveys, simulation modeling, and optimization, Proceedings
  3. [3]
  4. [4]
  5. [5]
  6. [6]
  7. [7]
  8. [8]
  9. [9]
  10. [10]of International Council for the Exploration of the Sea Annual Conference, Oslo, Norway, ICES, 2001/N:17. K.D.E. Stokesbury, Estimation of sea scallop abundance in closed areas of Georges Bank, Transactions of the American Fisheries Society, 131, 2002, 1081–1092. K.D.E. Stokesbury, B.P. Harris, M.C. Marino II, & J.I. Nogueira, Estimation of sea scallop abundance using a video survey in off-shore US waters, Journal of Shellfish Research, 23, 2004, 33–40. L. von Bertalanffy, A quantitative theory of organic growth, Human Biology, 10, 1938, 181–213. F.M. Serchuk, P.W. Wood, J.A. Posgay, & B.E. Brown, Assessment and status of sea scallop (Placopecten magellanicus) populations of the northeast coast of the United States, Proceedings of the National Shellfisheries Association, 69, 1979, 161–191. A.S. Merrill & J.A. Posgay, Estimating the natural mortality rate of the sea scallop (Placopecten magellanicus), International Commission for the Northwest Atlantic Fisheries Research Bulletin, 1, 1964, 88–106. W.E. Ricker, Computation and interpretation of biological statistics of fish populations, Bulletin of the Fisheries Research Board of Canada, 191, 1975, 1–382. R.J.H. Beverton & S.J. Holt, On the dynamics of exploited fish populations, in Fishery Investigations, Great Britain Ministry of Agriculture, Fisheries and Food, London, UK, Series II, Vol. 19 (1957) Northeast Fisheries Science Center, 39th Northeast Regional Stock Assessment Workshop assessment summary report, NEFSC reference document 04-10, http://www.nefsc.noaa. gov/nefsc/publications/crd/crd0410/, 2004.369
  11. [11] F. Azadivar, Simulation optimization methodologies, in P.A. Farrington, H.B. Nembhard, D.T. Sturrock, & G.W. Evans (Eds.), Proceedings of the 1999 Winter Simulation Conference (Washington, DC: IEEE Computer Society, 1999), 93–100.
  12. [12] F. Azadivar, T. Truong, K.D.E. Stokesbury, & B.J. Rothschild, Simulation based optimization in fishery management, in E. Y¨cesan, C.-H. Chen, J.L. Snowdon, & J.M. Charnes u (Eds.), Proceedings of the 2002 Winter Simulation Conference (Washington, DC: IEEE Computer Society, 2002), 525–531.
  13. [13] S.J. Mardle, S. Pascoe, & M. Tamiz, An investigation of genetic algorithms for the optimization of multi-objective fisheries bioeconomic models, International Transactions in Operations Research, 7, 2000, 33–49.
  14. [14] C.R. Reeves & J.E. Rowe, Genetic algorithms – Principles and perspectives: A guide to genetic algorithm theory (Boston: Kluwer Academic Publishers, 2003).

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