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Automated Feedback Framework for Introductory Programming Courses.

, , and . ITiCSE, page 53-58. ACM, (2016)

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Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization., , , , and . CoRR, (2018)Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models., , , and . GECCO (Companion), page 221-222. ACM, (2018)A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems., , , , , and . SMC, page 1608-1613. IEEE, (2019)Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering., , , and . GECCO (Companion), page 217-218. ACM, (2018)Automated Feedback Framework for Introductory Programming Courses., , and . ITiCSE, page 53-58. ACM, (2016)A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems., , , , and . CoRR, (2018)A global information based adaptive threshold for grouping large scale optimization problems., , , , , and . GECCO, page 833-840. ACM, (2018)An efficient estimation of distribution algorithm with rank-one modification and population reduction., , , , , , and . Biosyst., (2019)A historical interdependency based differential grouping algorithm for large scale global optimization., , , , and . GECCO (Companion), page 1711-1715. ACM, (2018)Surrogate model assisted cooperative coevolution for large scale optimization., , , , , , and . Appl. Intell., 49 (2): 513-531 (2019)