An artificial bee colony optimization algorithms for solving fuzzy capacitated logistic distribution center problem.

ABSTRACT: This paper presents a methodological approach to solving the fuzzy capacitated logistic distribution center problem, with a focus on the optimal selection of distribution centers to meet the demands of multiple plants. The distribution centers are characterized by fixed costs and capacities, while plant demands are modeled using fuzzy triangular membership functions. The problem is mathematically formulated by converting fuzzy demands into crisp values, providing a structured framework for addressing uncertainty in logistic planning. To support future research and facilitate comparative analysis, 20 benchmark problems were generated, filling a gap in the existing literature. Three distinct artificial bee colony algorithm variants were hybridized with a heuristic: one using the best solutio

SUBMITTER: Ayid YM 

PROVIDER: S-EPMC11460458 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature