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Bacterial Foraging Optimization for intensity-based medical image registration.

, , , and . CEC, page 2436-2443. IEEE, (2015)

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Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models., , and . Modelling with Words, volume 2873 of Lecture Notes in Computer Science, Springer, (2003)Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios., , , and . Expert Syst. Appl., 38 (1): 709-720 (2011)Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems., , , , and . Int. J. Intell. Syst., 22 (9): 909-941 (2007)Analysis of the Best-Worst Ant System and Its Variants on the QAP., , and . Ant Algorithms, volume 2463 of Lecture Notes in Computer Science, page 228-234. Springer, (2002)Computational Intelligence Applications in Skeleton-based Forensic Identification: Automating Craniofacial Superimposition and Comparative Radiology.. IJCCI, page 23-24. SciTePress, (2018)Multiobjective memetic algorithms for time and space assembly line balancing., , , and . Eng. Appl. Artif. Intell., 25 (2): 254-273 (2012)Ten years of genetic fuzzy systems: current framework and new trends., , , , and . Fuzzy Sets Syst., 141 (1): 5-31 (2004)Some Real-world Applications of Soft Artificial Intelligence: Scientogram Mining, Assembly Line Balancing, and Forensic Identification.. CCIA, volume 248 of Frontiers in Artificial Intelligence and Applications, page 3. IOS Press, (2012)Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems., , , and . ICEIS, page 325-333. (2002)Hybridizing Hierarchical and Weighted Linguistic Rules., , , , and . SAC, page 812-816. ACM, (2002)