Genetic algorithms, a nature-inspired tool: Review of applications in supply chain management

Abstract

The use of genetic algorithm for supply chain management with its ability to evolve solutions, handle uncertainty, and perform optimization remains to be a leading field of study. The growing body of publications over the last two decades means that it can be difficult to keep track of what has been done previously, what has worked, and what really needs to be addressed. Hence, this paper presents a review of existing research activities inspired by the genetic algorithm application in supply chain management (SCM) aimed at presenting key research themes, trends, and directions of future research.