Evolutionary Algorithms Applied to Agribusiness Scheduling Problem
Andre Noel, José Magon, Ademir Aparecido Constantino · 2014
This paper addresses a scheduling problem in agribusiness context, especifically about chicken catching. To solve that problem, memetic algorithms combined with local search in a two-phase algorithm were proposed and investigated. Four versions of memetic algorithms were implemented and compared. Also, to apply local search, k-swap and SRP is proposed and experimented. At last we analyze the results, comparing performances. The obtained results show a good improvement in solutions, especially when compared to the manual scheduling actually performed by the company that provides the data to this study.