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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.)

An optimization model for combined selecting, planting and harvesting sugarcane varieties

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Autor(es):
Florentino, Helenice de O. [1] ; Jones, Dylan F. [2] ; Irawan, Chandra Ade [3] ; Ouelhadj, Djamila [2] ; Khosravi, Banafesh [2] ; Cantane, Daniela R. [1]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] UNESP, Dept Bioestat IB, Botucatu, SP - Brazil
[2] Univ Portsmouth, Ctr Operat Res & Logist, Sch Math & Phys, Lion Gate Bldg, Lion Terrace, Portsmouth PO1 3HF, Hants - England
[3] Univ Nottingham Ningbo China, Nottingham Univ Business Sch China, 199 Taikang East Rd, Ningbo 315100 - Peoples R China
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: ANNALS OF OPERATIONS RESEARCH; APR 2020.
Citações Web of Science: 0
Resumo

The problem of selecting sugarcane varieties has been widely discussed due to its computational complexity and its great impact for the sugar and ethanol industry. This paper proposes a new integrated mathematical programming model to deal with the selection of sugarcane varieties to be planted and the determination of the optimal period for planting and harvesting in order to increase production in the sugarcane industry. The proposed model optimizes the production of sugarcane and improves the quality of biomass whilst satisfying the main constraints imposed by sugarcane companies. The problem is modelled as an integer linear program and solved using an exact method to generate optimal solutions for small and medium problems. For large problems, metaheuristic approaches based on Genetic Algorithm and Variable Neighbourhood Search are proposed. According to the results, the proposed methodology provides sugarcane company managers with decision support in selecting the most suitable varieties and in determining the best period to plant and harvest their sugarcane. (AU)

Processo FAPESP: 14/04353-8 - Otimização multiobjetivo aplicada aos processos de aproveitamento da biomassa da cana-de-açúcar para geração de energia
Beneficiário:Daniela Renata Cantane
Linha de fomento: Auxílio à Pesquisa - Pesquisador Visitante - Internacional
Processo FAPESP: 14/01604-0 - Metodologia multiobjetivo para otimização de processos em energias renováveis
Beneficiário:Helenice de Oliveira Florentino Silva
Linha de fomento: Bolsas no Exterior - Pesquisa