Optimization of fuzzy logic controller parameters using modern meta-heuristic algorithm for gantry crane system (GCS)

Research article (Materials Today Proceedings, 2020) · cited 15× · AI/ML
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Optimization of fuzzy logic controller parameters using modern meta-heuristic algorithm for gantry crane system (GCS)

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Optimization of fuzzy logic controller parameters using modern meta-heuristic algorithm for gantry crane system (GCS) is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimization of fuzzy logic controller parameters using modern meta-heuristic algorithm for gantry crane system (GCS). Retrieved May 24, 2026, from https://4ort.xyz/entity/optimization-of-fuzzy-logic-controller-parameters-using-modern-meta-heuristic-algorithm-for-gantry-crane-system-gcs
MLA “Optimization of fuzzy logic controller parameters using modern meta-heuristic algorithm for gantry crane system (GCS).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimization-of-fuzzy-logic-controller-parameters-using-modern-meta-heuristic-algorithm-for-gantry-crane-system-gcs.
BibTeX @misc{4ortxyz_optimization-of-fuzzy-logic-controller-parameters-using-modern-meta-heuristic-algorithm-for-gantry-crane-system-gcs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimization of fuzzy logic controller parameters using modern meta-heuristic algorithm for gantry crane system (GCS)}}, year = {2026}, url = {https://4ort.xyz/entity/optimization-of-fuzzy-logic-controller-parameters-using-modern-meta-heuristic-algorithm-for-gantry-crane-system-gcs}, note = {Accessed: 2026-05-24}}
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