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

H de Oliveira Florentino and M V Pato
Additional contact information
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

Journal of the Operational Research Society, 2014, vol. 65, issue 6, 842-854

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.

Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.palgrave-journals.com/jors/journal/v65/n6/pdf/jors201321a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/jors/journal/v65/n6/full/jors201321a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:65:y:2014:i:6:p:842-854

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().