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March 3, 2026
Bi-objective location of a semi-desirable line facility and evolutionary solution algorithms
MG
Mehdi Golpayegani
Amirkabir University of Technology
JF
Jafar Fathali
University of Shahrood
HM
Haleh Moradi
Islamic Azad University, Science and Research Branch
Key Points
The optimization approach improves facility location decisions based on multiple criteria—efficiency and cost.
Metrics indicate significant enhancement of solutions on the Pareto front and effective trade-off analysis.
Analysis employs evolutionary algorithms, utilizing bi-objective techniques for better decision-making in logistics operations.
Highlights the need for advanced algorithms in resource allocation, indicating implications for real-world implementations.
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Bi-objective location of a semi-desirable line facility and evolutionary solution algorithms | Synapse
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Golpayegani et al. (Tue,) studied this question.
synapsesocial.com/papers/69a76194c6e9836116a2f9d2
https://doi.org/https://doi.org/10.1007/s12065-026-01142-1