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Optimization of Cropping Patterns Using Elitist-Jaya and Elitist-TLBO Algorithms

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  • Vijendra Kumar

    (Sardar Vallabhbhai National Institute of Technology)

  • S. M. Yadav

    (Sardar Vallabhbhai National Institute of Technology)

Abstract

The Karjan irrigation project of Gujarat in Western India faces an acute shortage of irrigation water during the non-monsoon seasons. Improper water management in the area may result in reduced yields and hence low net incomes to the farmers. Optimal cropping pattern models were developed under different constrained environments using the improved versions of Jaya algorithm (JA) and teaching learning based optimization (TLBO) algorithm by incorporating the elitist concept, namely EJA and ETLBO, to maximize the net annual benefits. The advantages of EJA and ETLBO are that they do not require any algorithm-specific parameters and only need common controlling parameters, such as population size and number of iterations. Two different models of maximum and average cropping patterns were developed. Different elite sizes were tested with various combinations. The results of EJA and ETLBO were compared, and whether the improved version of the algorithm will enhance the results was checked. Moreover, the findings were compared with those of the linear programming (LP) model. It was observed that maximum net benefits were obtained by EJA for both the models. The results demonstrate a substantial gain in the cultivation of banana, cotton, sugarcane, and groundnuts. Based on the results, it is concluded that EJA outperforms ETLBO, JA, TLBO, and LP.

Suggested Citation

  • Vijendra Kumar & S. M. Yadav, 2019. "Optimization of Cropping Patterns Using Elitist-Jaya and Elitist-TLBO Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(5), pages 1817-1833, March.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:5:d:10.1007_s11269-019-02204-z
    DOI: 10.1007/s11269-019-02204-z
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    References listed on IDEAS

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    1. Garg, N.K. & Dadhich, Sushmita M., 2014. "Integrated non-linear model for optimal cropping pattern and irrigation scheduling under deficit irrigation," Agricultural Water Management, Elsevier, vol. 140(C), pages 1-13.
    2. Bo Ming & Jian-xia Chang & Qiang Huang & Yi-min Wang & Sheng-zhi Huang, 2015. "Optimal Operation of Multi-Reservoir System Based-On Cuckoo Search Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5671-5687, December.
    3. Li, Xiaojuan & Kang, Shaozhong & Niu, Jun & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng, 2017. "Applying uncertain programming model to improve regional farming economic benefits and water productivity," Agricultural Water Management, Elsevier, vol. 179(C), pages 352-365.
    4. Vijendra Kumar & S. M. Yadav, 2018. "Optimization of Reservoir Operation with a New Approach in Evolutionary Computation Using TLBO Algorithm and Jaya Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4375-4391, October.
    5. Chao-Chung Yang & Liang-Cheng Chang & Chang-Shian Chen & Ming-Sheng Yeh, 2009. "Multi-objective Planning for Conjunctive Use of Surface and Subsurface Water Using Genetic Algorithm and Dynamics Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(3), pages 417-437, February.
    6. Laxmi Sethi & D. Kumar & Sudhindra Panda & Bimal Mal, 2002. "Optimal Crop Planning and Conjunctive Use of Water Resources in a Coastal River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(2), pages 145-169, April.
    7. Seyed-Mohammad Hosseini-Moghari & Reza Morovati & Mohammad Moghadas & Shahab Araghinejad, 2015. "Optimum Operation of Reservoir Using Two Evolutionary Algorithms: Imperialist Competitive Algorithm (ICA) and Cuckoo Optimization Algorithm (COA)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3749-3769, August.
    8. Adeyemo, Josiah & Otieno, Fred, 2010. "Differential evolution algorithm for solving multi-objective crop planning model," Agricultural Water Management, Elsevier, vol. 97(6), pages 848-856, June.
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    1. Bhavana G. Thummar & Vijendra Kumar & Sanjaykumar M. Yadav & Prabhakar Gundlapalli, 2024. "Optimum Cropping Pattern in the Command Area of Nyari-2 Reservoir Using Teaching Learning-Based Optimization Algorithm," SN Operations Research Forum, Springer, vol. 5(2), pages 1-18, June.

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