Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration-Reference-Cited by-同舟云学术

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Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration

Published:2024-12 Issue: Volume:91 Page:101698
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Zhang Xin^ORCID,Sun Shaopeng,Yao Jian,Fang Wei,Qian Pengjiang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference40 articles.

1. Solving a supply-chain management problem using a bilevel approach;Lu,2017

2. Optimization of the biofuel supply chain with capital-constrained farmers under government subsidies;Ye;IEEE Access,2019

3. Cooperative coevolutionary bare-bones particle swarm optimization with function independent decomposition for large-scale supply chain network design with uncertainties;Zhang;IEEE Trans. Cybern.,2020

4. How smart cities will change supply chain management: a technical viewpoint;Öberg;Prod. Plan. Control,2016

5. How will smart city production systems transform supply chain design: a product-level investigation;Kumar;Int. J. Prod. Res.,2016

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