Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods

Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods

Abstract In Thailand, the harvesting season for sugarcane usually begins in November and ends the following May. At the beginning of each harvesting season, the Royal Thai government sets the price of two types of sugarcane, namely fresh and fired, based on sweetness (sugar content) and gross weight...

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Bibliographic Details
Main Authors: Wisanlaya Pornprakun, Surattana Sungnul, Chanakarn Kiataramkul, Elvin J. Moore
Format: Article
Language:English
Published: SpringerOpen 2019-06-01
Series:Advances in Difference Equations
Subjects:
Optimal harvesting policy
ε-constraints method
Bi-objective mathematical model
Quasi-Newton optimization
Online Access:http://link.springer.com/article/10.1186/s13662-019-2192-3

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