Author of the publication

Three-objective subgraph mining using multiobjective evolutionary programming.

, , and . J. Comput. Syst. Sci., 80 (1): 16-26 (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems., , , and . ICEIS, page 325-333. (2002)Comparing two genetic overproduce-and-choose strategies for fuzzy rule-based multiclassification systems generated by bagging and mutual information-based feature selection., and . Int. J. Hybrid Intell. Syst., 7 (1): 45-64 (2010)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)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)MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach., , , and . Int. J. Intell. Syst., 14 (11): 1123-1153 (1999)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)Hybridizing Hierarchical and Weighted Linguistic Rules., , , , and . SAC, page 812-816. ACM, (2002)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)Computational Intelligence Applications in Skeleton-based Forensic Identification: Automating Craniofacial Superimposition and Comparative Radiology.. IJCCI, page 23-24. SciTePress, (2018)