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A bi-objective genetic approach for the selection of sugarcane varieties to comply with environmental and economic requirements

Author

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  • H de Oliveira Florentino

    (Universidade Estadual Paulista – UNESP, Botucatu, SP, Brasil)

  • M V Pato

    (1] ISEG, Universidade Técnica de Lisboa, Lisboa, Portugal[2] Centro de Investigação Operacinal, Universidade de Lisboa, Lisboa, Portugal)

Abstract

The selection of sugarcane varieties is an important problem faced by companies in Brazil that exploit sugarcane harvest for energy production. In the light of current concerns regarding the reduction of environmental damage and the efficiency of the production system, research into this problem is called for. In this context the authors begin by outlining the sugarcane variety selection problem in accordance with technical constraints with the purpose of minimizing collection and transport costs and maximizing energy balance obtained from residues of the sugarcane harvest. They then present a previously developed model for the problem within bi-objective binary linear programming and study its computational complexity. Fundamentally, this paper is devoted to the application of a bi-objective genetic heuristic to the question addressed. A computational experiment, performed by resorting to a test set including real and semi-randomly generated instances, is then reported. The results prove the high quality of the heuristic in terms of solution quality, besides computing time. For these reasons, this will be an appropriate tool to help sugarcane company managers to plan their producing activities.

Suggested Citation

  • H de Oliveira Florentino & M V Pato, 2014. "A bi-objective genetic approach for the selection of sugarcane varieties to comply with environmental and economic requirements," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(6), pages 842-854, June.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:6:p:842-854
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    Citations

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    Cited by:

    1. Helenice de O. Florentino & Dylan F. Jones & Chandra Ade Irawan & Djamila Ouelhadj & Banafesh Khosravi & Daniela R. Cantane, 2022. "An optimization model for combined selecting, planting and harvesting sugarcane varieties," Annals of Operations Research, Springer, vol. 314(2), pages 451-469, July.
    2. Camila de Lima & Antonio Roberto Balbo & Thiago Pedro Donadon Homem & Helenice de Oliveira Florentino Silva, 2017. "A hybrid approach combining interior-point and branch-and-bound methods applied to the problem of sugar cane waste," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(2), pages 147-164, February.
    3. Heidari, Mohammad Davoud & Turner, Ian & Ardestani-Jaafari, Amir & Pelletier, Nathan, 2021. "Operations research for environmental assessment of crop-livestock production systems," Agricultural Systems, Elsevier, vol. 193(C).
    4. Aliano Filho, Angelo & A． Oliveira, Washington & Melo, Teresa, 2023. "Multi-objective optimization for integrated sugarcane cultivation and harvesting planning," European Journal of Operational Research, Elsevier, vol. 309(1), pages 330-344.

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