Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence

Research article (Computers & Operations Research, 2018) · cited 69× · AI/ML
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Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence

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Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-hybrid-evolutionary-analytical-approach-for-multi-objective-location-allocation-decisions-automotive-green-s
MLA “Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-hybrid-evolutionary-analytical-approach-for-multi-objective-location-allocation-decisions-automotive-green-s.
BibTeX @misc{4ortxyz_data-driven-hybrid-evolutionary-analytical-approach-for-multi-objective-location-allocation-decisions-automotive-green-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-hybrid-evolutionary-analytical-approach-for-multi-objective-location-allocation-decisions-automotive-green-s}, note = {Accessed: 2026-05-24}}
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