Genetic algorithm and particle swarm optimization techniques in supply chain design problems: A survey

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

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Abstract

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.

Item Type: Book
Additional Information: cited By 2
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 10 Nov 2023 03:27
Last Modified: 10 Nov 2023 03:27
URI: https://khub.utp.edu.my/scholars/id/eprint/13001

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