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An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison.

, , and . IJCNN, page 1924-1931. IEEE, (2017)

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A Self-adaptive Differential Evolution Algorithm with Constraint Sequencing., , and . Australasian Conference on Artificial Intelligence, volume 7691 of Lecture Notes in Computer Science, page 182-193. Springer, (2012)An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems., , and . Appl. Math. Comput., (2015)A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization., , and . IEEE Trans. Evol. Comput., 22 (5): 762-777 (2018)An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations., , and . GECCO (Companion), page 113-114. ACM, (2013)Re-design for Robustness: An Approach Based on Many Objective Optimization., , , and . EMO (2), volume 9019 of Lecture Notes in Computer Science, page 343-357. Springer, (2015)An adaptive hybrid differential evolution algorithm for single objective optimization., , and . Appl. Math. Comput., (2014)A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization., , and . IEEE Trans. Evol. Comput., 19 (3): 445-460 (2015)An adaptive differential evolution algorithm and its performance on real world optimization problems., , and . IEEE Congress on Evolutionary Computation, page 1057-1062. IEEE, (2011)A Decomposition Based Evolutionary Algorithm for Many Objective Optimization with Systematic Sampling and Adaptive Epsilon Control., , and . EMO, volume 7811 of Lecture Notes in Computer Science, page 413-427. Springer, (2013)Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M)., , and . IEEE Congress on Evolutionary Computation, page 983-990. IEEE, (2014)