A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility
Weng Hoe Lam,
Weng Siew Lam,
Pei Fun Lee
Abstract:As a famous population-based metaheuristic algorithm, a genetic algorithm can be used to overcome optimization complexities. A genetic algorithm adopts probabilistic transition rules and is suitable for parallelism, which makes this algorithm attractive in many areas, including the logistics and supply chain sector. To obtain a comprehensive understanding of the development in this area, this paper presents a bibliometric analysis on the application of a genetic algorithm in logistics and supply chains using d… Show more
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