Heuristics in Labor Management: An Application of Modified Camel Algorithm

Authors : Mehmet Fatih Demiral

Pages : 37-48

Doi:10.34232/pjess.1498652

View : 35 | Download : 32

Publication Date : 2024-06-30

Article Type : Research Paper

Abstract :Modified Camel Algorithm (MCA) is a challenging algorithm applied to engineering problems in 2016, 2019, and 2021. MCA can be implemented to the field of business, economics, labor management, and science compared to the other techniques. The pure MCA solves optimization problems effectively and quite fast in literature. To develop and apply the mathematical model in labor management using the modified camel algorithm, it was combined with popular heuristics, such as constructive heuristic (MC), and then improved with local searches, for instance 2-opt, 3-opt, and k-opt. The suggested hybrid algorithms are tested under proper parameters. In the experimental study, random model datasets, and suitable parameters are used via uniform distribution. The experimental outcomes are given as best, average, std. deviation and CPU time for sample datasets with proper parameters. In short, the suggested hybrid metaheuristics find reasonable solutions of labor management in acceptable CPU time for all random datasets.
Keywords : Atama problemi, Geliştirilmiş Deve Algoritması, İşgücü Yönetimi, Metasezgiseller, Sezgiseller