Optimal crop selection using multiobjective evolutionary algorithms

AI Magazine

Volumn 30, Issue 2, 2009, Pages 96-105

  Brunelli, Ricardo ^a   Von Lücken, Christian ^a  

^a UNIVERSIDAD NACIONAL DE ASUNCIÓN   (Paraguay)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; SOIL SURVEYS; SOILS;

CONFLICTING OBJECTIVES; CROP SELECTIONS; ENVIRONMENTAL DAMAGE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; REDUCING COSTS; SOIL CHARACTERISTICS; SOIL TREATMENTS; YIELD POTENTIAL;

EVOLUTIONARY ALGORITHMS;

EID: 78650123898     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: 10.1609/aimag.v30i2.2212     Document Type: Article

References (18)

1. Baker, R.; Ball, S. T.; and Flynn, R. 2002. Soil Analysis: A Key to Soil Nutrient Management. Technical report, Cooperative Extension Service College of Agriculture and Home Economics, New Mexico State University, Las Cruces, NM.
2. Barán, B.; von Lücken, C.; and Sotelo, A. 2004. Pump Scheduling Optimization Using Asynchronous Parallel Evolutionary Algorithms. CLEI Electronic Journal 7 (7).
3. Boceo, M.; Sayago, S.; and Tartara, E. 2002. Multicriteria Models: An Application for the Selection of Productive Alternatives. Agricultura Técnica 62(3): 450-462. (Pubitemid 36766814)
4. Chi-Mei, L.; Lan, L.; Zhi-Qiang, Y.; and Ding-Xin, P. 2002. Sustainable Use of Land Resource and Its Evaluation in County Area. Chinese Geographical Science 12(1): 61-67.
5. Coello Coello, C.; van Veldhuizen, D.; and Lamont, G. 2007. Evolutionary Algorithms for Solving Multiobjective Problems, second edition. Berlin: Springer.
6. Johnson, S. L.; Adams, R. M.; and Perry, G. M. 1991. The On-Farm Costs of Reducing Groundwater Pollution. American Journal of Agricultural Economics 73(4): 1063-1073.
7. Kelling, K.; Bundy, L.; Combs, S.; and Peters, J. 1998. Soil Test Recommendations for Field, Vegetable and Fruit Crops. University of Wisconsin Cooperative Extension Report A2809, Madison, WI.
8. Matthews, K. 2001. Applying Genetic Algorithms to Multiobjective Land-Use Planning, PhD dissertation, The Robert Gordon University, Aberdeen, Scotland, UK.
9. Matthews, K.; Craw, S.; Elder, S.; Sibbald, A.; and MacKenzie, I.2000. Applying Genetic Algorithms to Multiobjective Land Use Planning. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), ed. L. Whitley, D. Goldberg, E. Cantú-Paz, L. Spector, I. Parmee, and H. Beyer. San Francisco: Morgan Kaufmann Publishers.
10. Schroth, G., and Sinclair, F., eds. 2003. Trees, Crops and Soil Fertility: Concepts and Research Methods. Wallingford, UK: CABI Publishing.
11. Stewart, T. J.; Janssen, R.; and van Herwijnen, M. 2004. A Genetic Algorithm Approach to Multiobjective Land Use Planning. Computers and Operations Research 31(14): 2293-2313.
12. Tsuruta, J.; Hoshi, T.; and Sugai, Y. 2001. Seleção de Áreas Adaptativas ao Desenvolvimento Agrícola, Usando-se Algoritmos Geneticos (Selection of Agricultural Areas Suitable for Development Using Genetic Algorithms). Technical report, Brasilia, Brazil: Embrapa Comunicação para Trasferência de Tecnologia.
13. van Veldhuizen, D.; Zydallis, J.; and Lamont, G. 2003. Considerations in Engineering Parallel Multiobjective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation 7(2): 144-173.
14. von Lücken, C., and Brunelli, R. 2008. Crops Selection for Optimal Soil Planning using Multiobjective Evolutionary Algorithms. In Proceedings of the Twentieth Innovative Applications of Artificial Intelligence Conference, 1751-1756. Menlo Park, CA: AAAI Press.
15. Yu, L.-Y.; Ji, X.-D.; and Wang, S.-Y. 2003. Stochastic Programming Models in Financial Optimization: A Survey. AMO-Advanced Modeling and Optimization 5(1): 1-26.
16. Zitzler, E., and Thiele, L. 1999. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation 3(4): 257-271. (Pubitemid 30544879)
17. Zitzler, E.; Deb, K.; and Thiele, L. 2000. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation 8 (2): 173-195.
18. Zitzler, E.; Laumanns, M.; and Thiele, L. 2001. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. In EUROGEN 2001. Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems. Barcelona, Spain: Centro Internacional de Métodos Numéricos en Ingeniería (CIMNE).