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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

Texto completo
Autor(es):
de Oliveira Florentino, H. [1] ; Pato, M. V. [2, 3]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Estadual Paulista, UNESP, BR-18618000 Botucatu, SP - Brazil
[2] Univ Tecn Lisboa, ISEG, P-1100 Lisbon - Portugal
[3] Univ Lisbon, Ctr Invest Operacinal, P-1699 Lisbon - Portugal
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Journal of the Operational Research Society; v. 65, n. 6, SI, p. 842-854, JUN 2014.
Citações Web of Science: 2
Resumo

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. (AU)

Processo FAPESP: 10/07585-6 - Técnicas heurísticas para resolução de modelos multiobjetivo
Beneficiário:Helenice de Oliveira Florentino Silva
Linha de fomento: Auxílio à Pesquisa - Pesquisador Visitante - Internacional
Processo FAPESP: 09/14901-4 - Técnicas de otimização de processos no setor sucro alcooleiro
Beneficiário:Helenice de Oliveira Florentino Silva
Linha de fomento: Auxílio à Pesquisa - Regular