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Adaptive genetic algorithm for solving sugarcane loading stations with multi-facility services problem.

Authors :
Neungmatcha, Woraya
Sethanan, Kanchana
Gen, Mitsuo
Theerakulpisut, Somnuk
Source :
Computers & Electronics in Agriculture. Oct2013, Vol. 98, p85-99. 15p.
Publication Year :
2013

Abstract

Highlights: [•] This study addresses the problem of the sugarcane supply through loading station to the mill factory. [•] There exist different types of multi-facility services in each sugarcane loading station. [•] Designing a mathematical model for location–allocation problem with multi-facility services. [•] Proposing an efficient adaptive genetic algorithm to solve location–allocation problem with multi-facility services. [•] Outperforming well by the proposed adaptive genetic algorithm in large-sized problems. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01681699
Volume :
98
Database :
Academic Search Index
Journal :
Computers & Electronics in Agriculture
Publication Type :
Academic Journal
Accession number :
90522482
Full Text :
https://doi.org/10.1016/j.compag.2013.07.016