Open Access
Review
Issue
Int. J. Simul. Multidisci. Des. Optim.
Volume 9, 2018
Article Number A3
Number of page(s) 6
DOI https://doi.org/10.1051/smdo/2018001
Published online 16 March 2018
  1. O. Olofintoy, J. Adeyemo, F. Otieno, Evolutionary algorithms and water resources optimization, in EVOLVE − A bridge between probability, set oriented numerics, and evolutionary computation II (2013) pp. 491–506 [CrossRef] [Google Scholar]
  2. A. Ikudayisi, J. Adeyemo, Environ. Econ. 6, 200–205 (2015) [Google Scholar]
  3. N. Schütze, T. Wöhling, M. De Paly, G. Schmitz, Global optimization of deficit irrigation systems using evolutionary algorithms, in Proceedings of Denmark, Proceedings of the XVI International Conference on Computational Systems (2006) [Google Scholar]
  4. C.A.C. Coello, G. Pulido, Evolutionary Multi-Criterion Optimization, in A Micro-Genetic Algorithm for Multiobjective Optimization (2001) Vol. 1993, pp. 126–140 [Google Scholar]
  5. Y. Han, Y-F. Huang, G-Q. Wang, I. Maqsood, Water Resour. Manag. 25, 449–463 (2011) [CrossRef] [Google Scholar]
  6. W.R. Godoy, A.F. Barton, I. Victoria, A Procedure for Formulation of Multi-Objective Optimisation Problems in Complex Water Resources Systems, in 19th International Congress on Modelling and Simulation (2011), pp. 12–16 [Google Scholar]
  7. R. Lalehzari, S. Boroomand Nasab, H. Moazed, A. Haghighi, J. Irrig. Drain. Eng. 142, 5015008 (2016) [CrossRef] [Google Scholar]
  8. M. Habibi Davijani, M.E. Banihabib, A. Nadjafzadeh Anvar, S.R. Hashemi, Water Resour. Manag. 30, 927–946 (2016) [CrossRef] [Google Scholar]
  9. E. Xevi, S. Khan, J. Environ. Manage. [Internet] 77, 269–277 (2005) [CrossRef] [Google Scholar]
  10. L. Antonio, C.A.C. Coello, Z. Mart, Knowl. Inf. Syst. 1, 269–308 (1999) [CrossRef] [Google Scholar]
  11. M.J. Reddy, D.N. Kumar, Water Resour. Manag. 20, 861–878 (2006) [CrossRef] [Google Scholar]
  12. L. Antonio, C.A.C. Coello, Z. Mart, An introduction to multiobjective (2009), pp. 1–26 [Google Scholar]
  13. K. Deb, Multi-objective optimisation using evolutionary algorithms: an introduction, in Multi-objective evolutionary optimisation for product design and manufacturing (2011), pp. 3–34 [CrossRef] [Google Scholar]
  14. C.M. Fonseca, P.J. Fleming, Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization, in Icga (1993), pp. 416–423 [Google Scholar]
  15. MathWorks, MathWorks.com. Genetic Algorithm − MATLAB Simulink [Internet] (2017), p. 1 [Google Scholar]
  16. N. Srinivas, K. Deb, Evol. Comput. 2, 221–248 (1994) [CrossRef] [Google Scholar]
  17. K. Deb, S. Agrawal, A. Pratap, T. Meyarivan, A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II, in Lecture notes in … (2000) pp. 849–858 [Google Scholar]
  18. K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, IEEE Trans. Evol. Comput. 6, 182–197 (2002) [CrossRef] [Google Scholar]
  19. R. Storn, K. Price, J. Glob. Optim. 11, 341–359 (1997) [CrossRef] [MathSciNet] [Google Scholar]
  20. T. Robič, B. Filipič, DEMO: Differential Evolution for Multiobjective Optimization, in Evolutionary Multi-Criterion Optimization (2005) pp. 520–533 [Google Scholar]
  21. F. Xue, A.C. Sanderson, R.J. Graves, Pareto-based multi-objective differential evolution, in The 2003 Congress on Evolutionary Computation, CEC '03 (2003) pp. 862–869 [Google Scholar]
  22. K. Srinivasa Raju, D. Nagesh Kumar, Water Resour. Manag. 18, 163–176 (2004) [CrossRef] [Google Scholar]
  23. S. Kuo, G.P. Merkley, C. Liu, Agric. Water Manag. 45, 243–266 (2000) [CrossRef] [Google Scholar]
  24. I. Nouiri, Water Resour. Manag. 28, 2885–2901 (2014) [CrossRef] [Google Scholar]
  25. S.K. Sadati, S. Speelman, M. Sabouhi, M. Gitizadeh, B. Ghahraman, Water (Switzerland) 6, 3068–3084 (2014) [Google Scholar]
  26. J.B. Nixon, G.C. Dandy, A.R. Simpson, J. Hydroinf. 3, 11–22 (2001) [Google Scholar]
  27. R. Wardlaw, K. Bhaktikul, Irrig. Drain. 50, 159–170 (2001) [CrossRef] [Google Scholar]
  28. X. Jin, J. Zhang, J. Gao, W. Wu, J. Zhejiang Univ. A 9, 391–400 (2008) [CrossRef] [Google Scholar]
  29. R. Lalehzari, S. Boroomand Nasab, H. Moazed, A. Haghighi, J. Irrig. Drain Eng. 142, 5015008 (2016) [CrossRef] [Google Scholar]
  30. M.M.R. Tabari, J. Soltani, Water Resour. Manag. 27, 37–53 (2013) [CrossRef] [Google Scholar]
  31. L-C. Chang, F. Chang, J. Hydrol. 377, 12–20 (2009) [CrossRef] [Google Scholar]
  32. M.J. Reddy, D.N. Kumar, Irrig. Sci. 26, 177–190 (2008) [CrossRef] [Google Scholar]
  33. J. Adeyemo, F. Otieno, Agric. Water Manag. 97, 848–56 (2010) [CrossRef] [Google Scholar]
  34. P. Gupta, A. Vasan, K.S. Raju, Multiobjective Differential Evolution and Differential Evolution for Irrigation Planning, in World Environmental and Water Resources Congress (2009), pp. 5022–5029 [Google Scholar]
  35. K.P. Feng, J.C. Tian, Appl. Mech. Mater. 278–280, 1271–1274 (2013) [CrossRef] [Google Scholar]
  36. A. Vasan, K.S. Raju, Water Resour. Manag. 21, 1393–1407 (2007) [CrossRef] [Google Scholar]
  37. J. Adeyemo, F. Otieno, Application of multi-objective differential evolution algorithm (MDEA) to irrigation planning, in World Environmental and Water Resources Congress (2009), pp. 4689–4698 [Google Scholar]
  38. M.S. Babel, A. Gupta Das, D.K. Nayak, Water Resour. Manag. 19, 693–712 (2005) [CrossRef] [Google Scholar]
  39. K.S. Raju, A. Vasan, P. Gupta, K. Ganesan, H. Mathur, ISH J. Hydraul. Eng. [Internet] 18, 54–64 (2012) [CrossRef] [Google Scholar]
  40. H. Noory, A.M. Liaghat, M. Parsinejad, O.B. Haddad, J. Irrig. Drain. Eng. [Internet] 138, 437–444 (2012) [CrossRef] [Google Scholar]
  41. S. Yakowitz, Water Resour. Res. 18, 673–696 (1982) [CrossRef] [Google Scholar]
  42. D.C. McKinney, X. Cai, Multiobjective optimization model for water allocation in the Aral Sea basin, in Conference paper, American Institute of Hydrology-CIS (1996) [Google Scholar]
  43. B. Ghahraman, A-R. Sepaskhah, Irrig. Drain. 53, 39–54 (2004) [CrossRef] [Google Scholar]
  44. R. Roozbahani, S. Schreider, B. Abbasi, Multi-objective decision making for basin water allocation, in 20th International Congress on Modelling and Simulation (2013), pp. 1–6 [Google Scholar]
  45. D.A. Veldhuizen Van, G.B. Lamont, Evolutionary Computation and Convergence to a Pareto Front, in Late breaking papers at the genetic programming1998 conference (1998), pp. 221–228 [Google Scholar]
  46. K. Deb, K. Sindhya, J. Hakanen, Multi-Objective Optimization, in Decision Sciences [Internet] (2016), pp. 145–184 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.