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A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs

Research article (IEEE Transactions on Vehicular Technology, 2019) · cited 71× · AI/ML
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A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs

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A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-fuzzy-logic-guided-genetic-algorithm-h-flga-approach-for-resource-optimization-in-5g-vanets
MLA “A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-fuzzy-logic-guided-genetic-algorithm-h-flga-approach-for-resource-optimization-in-5g-vanets.
BibTeX @misc{4ortxyz_a-hybrid-fuzzy-logic-guided-genetic-algorithm-h-flga-approach-for-resource-optimization-in-5g-vanets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-fuzzy-logic-guided-genetic-algorithm-h-flga-approach-for-resource-optimization-in-5g-vanets}, note = {Accessed: 2026-05-24}}
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