relation: https://khub.utp.edu.my/scholars/13001/
title: Genetic algorithm and particle swarm optimization techniques in supply chain design problems: A survey
creator: Rahman, M.A.
creator: Vasant, P.M.
creator: Watada, J.
creator: Sokkalingam, R.
description: Metaheuristics has become a top research area. Numerous optimization problems have been solved by metaheuristics as they showed comprehensive improvements to solve these intractable optimization problems. Complex problems like supply chain design problems need strategic decisions, and metaheuristics can intensify the decisions while designing supply chain network. In this chapter, the authors have introduced how nature memetic algorithms (e.g., genetic algorithm and particle swarm algorithms) are implemented to solve supply chain network design problem. A discussion about the recent research in this field shows an important direction to the future research. © 2020, IGI Global.
publisher: IGI Global
date: 2020
type: Book
type: PeerReviewed
identifier:   Rahman, M.A. and Vasant, P.M. and Watada, J. and Sokkalingam, R.  (2020) Genetic algorithm and particle swarm optimization techniques in supply chain design problems: A survey.     IGI Global, pp. 425-438.  ISBN 9781799836469; 9781799836452     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109446931&doi=10.4018%2f978-1-7998-3645-2.ch019&partnerID=40&md5=a5a34a585a2cabe082e87de746b54db4
relation: 10.4018/978-1-7998-3645-2.ch019
identifier: 10.4018/978-1-7998-3645-2.ch019