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Genetic Algorithms based on Bhattacharyya Distance for Quantum Measurement Error Mitigation.

, , and . SMC, page 3448-3453. IEEE, (2021)

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An Enhanced Visual Environment for Designing, Testing and Developing FML-Based Fuzzy Systems., , and . On the Power of Fuzzy Markup Language, volume 296 of Studies in Fuzziness and Soft Computing, Springer, (2013)Towards Automatic Bloodstain Pattern Analysis through Cognitive Robots., , , , and . SMC, page 2447-2452. IEEE, (2015)Applying NSGA-II for Solving the Ontology Alignment Problem., , , and . SMC, page 1098-1103. IEEE, (2013)Interoperable services based on activity monitoring in Ambient Assisted Living environments., , , and . IEEE IA, page 81-88. IEEE, (2014)Hybridizing fuzzy control and timed automata for modeling variable structure fuzzy systems., , and . FUZZ-IEEE, page 1-8. IEEE, (2010)Extending IEEE Std 1855 for designing Arduino™-based fuzzy systems., and . FUZZ-IEEE, page 1-6. IEEE, (2017)Error Mitigation in Quantum Measurement through Fuzzy C-Means Clustering., and . FUZZ-IEEE, page 1-6. IEEE, (2021)Enhancing an AmI-Based Framework for U-commerce by Applying Memetic Algorithms to Plan Shopping., , , and . INCoS, page 169-175. IEEE, (2014)Genetic Algorithms for Constructing Effective Nuclear Shell-Model Hamiltonians., , , , , and . CEC, page 1-8. IEEE, (2023)Quantum genetic selection: using a quantum computer to select individuals in genetic algorithms., , and . GECCO Companion, page 219-220. ACM, (2021)