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A Gradient-Guided ACO Algorithm for Neural Network Learning., and . SSCI, page 1133-1140. IEEE, (2015)The effect of the number of ants parameter in the ACOR algorithm: A run-time profiling study., and . SSCI, page 1-8. IEEE, (2017)Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner., and . IEEE Congress on Evolutionary Computation, page 900-907. IEEE, (2013)Solution recombination in an indicator-based many-objective ant colony optimizer for continuous search spaces., and . SSCI, page 1-8. IEEE, (2017)ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins., and . EvoBIO, volume 7833 of Lecture Notes in Computer Science, page 80-91. Springer, (2013)An extension of the ACOR algorithm with time-decaying search width, with application to neural network training., and . CEC, page 2360-2366. IEEE, (2016)A Novel Ant Colony Algorithm for Building Neural Network Topologies., and . ANTS Conference, volume 8667 of Lecture Notes in Computer Science, page 1-12. Springer, (2014)Evaluating the use of different measure functions in the predictive quality of ABC-miner., and . GECCO (Companion), page 15-16. ACM, (2013)Exploring the Impact of Different Classification Quality Functions in an ACO Algorithm for Learning Neural Network Structures., and . IJCCI (ECTA), page 137-144. SciTePress, (2014)Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers., , and . SSCI, page 1146-1153. IEEE, (2015)