TY  - BOOK
AV  - none
TI  - Genetic algorithm and particle swarm optimization techniques in supply chain design problems: A survey
ID  - scholars13001
SP  - 425
N2  - 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.
N1  - cited By 2
SN  - 9781799836469; 9781799836452
PB  - IGI Global
Y1  - 2020///
EP  - 438
UR  - 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
A1  - Rahman, M.A.
A1  - Vasant, P.M.
A1  - Watada, J.
A1  - Sokkalingam, R.
ER  -