Application of multi-objective differential evolution algorithm (mdea) to irrigation planning

Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers

Volumn 342, Issue , 2009, Pages 4689-4698

  Adeyemo, Josiah ^a   Otieno, Fred ^a  

^a TSHWANE UNIVERSITY OF TECHNOLOGY   (South Africa)

Author keywords

Differential evolution; Evolutionary algorithm; Irrigation planning; Multi objective; Optimization

Indexed keywords

BENCH-MARK PROBLEMS; CROP FAILURES; DIFFERENTIAL EVOLUTION; DIRECT SEARCH; EVOLUTION ALGORITHMS; IRRIGATION PLANNING; MULTI-OBJECTIVE; MULTI-OBJECTIVE DIFFERENTIAL EVOLUTIONS; MULTI-OBJECTIVE PROBLEM; NUMERICAL OPTIMIZATIONS; PARETO-FRONT; SELECTION SCHEME; WATER SCARCE;

DAMPING; IRRIGATION; MULTIOBJECTIVE OPTIMIZATION; PARALLEL ALGORITHMS; WATER RESOURCES;

EVOLUTIONARY ALGORITHMS;

EID: 70350440493     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41036(342)472     Document Type: Conference Paper

References (16)

1. Angira, R., and Babu, B. V. (2005). Non-dominated sorting differential evolution for multi-objective optimization. 2nd Indian international conference on Artificial intelligence (IICAI-05), 1428-1443.
2. Babu, B. V., and Jehan, M. M. (2003). December 8-12. Differential evolution for multi-objective optimization. Paper presented at the Congress on Evolutionary Computation (CEC-2003), Canberra, Australia.
3. Babu, B. V., Mubeen, J. H. S., and Pallavi, G. C. (2005). Multi-objective differential evolution (MODE) for optimization of adiabatic styrene Reactor. Chemical Engineering Science, 60, 4824-4839.
4. Deb, K. (2001). Multi-Objective Optimization using Evolutionary Algorithms: John Wiley and Sons, Chichester, UK.
5. Deb, K., Agrawal, S., Pratap, A., and Meyarivan, T. (2001). A Fast Elistist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II (No. 200001): Kanpur Genetic Algorithms Laboratory(KanGAL) Indian Institute of Technology Kanpur.
6. Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. (2002). A fast and elitist multi-objective genetic algorithm: NSGA-II. Paper presented at the IEEE Transaction on Evolutionary computation.
7. Fan, H. Y., Lampinen, J., and Levy, Y. (2006). An easy-to-implement differential evolution approach for multi-objective optimizations. Engineering Computations: International Journal for Computer-Aided Engineering and Software, 23(2), 124-138.
8. Lampinen, J. (2000). Multi-objective nonlinear Pareto-optimization: a pre-investigation report, Technical Report: Laboratory on Information Processing, Lappeenranta University of Technology, Lappeenranta.
9. Madavan, N. K. (2002). Multi-objective optimization using a Pareto differential evolution approach. Paper presented at the Congress on Evolutionary Computation (CEC '2002).
10. Price, K., and Storn, R. (1997). Differential evolution. Dr Dobb's JournaKApril 97,), 18-24.
11. Price, K., and Storn, R. (2008). Differential evolution homepage (web site of Price and Storn) as at 2008. http:\\www.ICSLBerkeley.edu/~storn/code. html. [Online]. Available from: 2008.
12. Reddy, M. J., and Kumar, D. N. (2007). Multiobjective Differential Evolution with Application to Reservoir System Optimization. Journal of Computing in Civil Engineering @ ASCE, 21(2), 136-147.
13. Robic, T., and Filipic, B. (2005). DEMO: Differential evolution for multiobjective optimization. Paper presented at the 3rd Int. Conf. on Evolutionary Multi-Criterion Optimization, EMO 2005.
14. Salman, A., Engelbrecht, A. P., and Omran, M. G. H. (2007). Empirical analysis of self-adaptive differential evolution. European Journal of Operational Research, 183, 785-804.
15. Santana-Quintero, L. V., and Coello, C. A. C. (2005). An algorithm based on differential evolution for multi-objective problems. International journal of computational intelligence research, 1(2), 151-169.
16. Xue, F., Sanderson, A. C., and Graves, R. J. (2003). Pareto-based multi-objective evolution. Paper presented at the Congress on Evolutionary Computation, Canberra, Australia.