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Note: The articles in PDF format available in this page are for academic research convenience. The copyright of the published version of the articles belongs to the corresponding publishers.
[2022] [DOI: 10.1016/j.ijforecast.2022.01.009]: E. Chiew and S. S. Choong. A Solution for M5 Forecasting - Uncertainty: Hybrid Gradient Boosting and Autoregressive Recurrent Neural Network for Quantile Estimation. International Journal of Forecasting, vol. 38(4), pp. 1442-1447. The solution become 11th in this competition leaderboard due to the disqualification of two teams.
[2020] [DOI: 10.1504/IJBIC.2020.108591]: S. S. Choong, L. P. Wong, M. Y. H. Low, and C. S. Chong. A bee colony optimization algorithm with a sequential-pattern-mining-based pruning strategy for the traveling salesman problem. International Journal of Bio-Inspired Computation, vol. 15(4), pp. 239-253.
[2019] [PDF] [DOI: 10.1016/j.swevo.2018.08.004]: S. S. Choong, L. P. Wong, and C. P. Lim. An artificial bee colony algorithm with a modified choice function for the traveling salesman problem. Swarm and Evolutionary Computation, vol. 44, pp. 622-635.
[2018] [PDF] [DOI: 10.1016/j.ins.2018.01.005]: S. S. Choong, L. P. Wong, and C. P. Lim. Automatic design of hyper-heuristic based on reinforcement learning. Information Sciences, vol. 436-437, pp. 89–107.
[2017] [PDF] [DOI: 10.1111/coin.12159]: S. S. Choong, L. P. Wong, and C. P. Lim. A dynamic fuzzy-based dance mechanism for the bee colony optimization algorithm. Computational Intelligence, vol. 34(4), pp. 999-1024.
[2021] [DOI: 10.1109/TAAI54685.2021.00019]: C. G. Tan, S. S. Choong and L. P. Wong. A Machine-Learning-based Approach for Parameter Control in Bee Colony Optimization for Traveling Salesman Problem. In Proceedings of the 26th International Conference on Technologies and Applications of Artificial Intelligence (TAAI) (TAAI 2021), IEEE, 2021.
[2017] [PDF] [DOI: 10.1109/SMC.2017.8122629]: S. S. Choong, L. P. Wong, and C. P. Lim. An artificial bee colony algorithm with a modified choice function for the traveling salesman problem. In Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), IEEE, 2017, pp. 357–362.
[2015] [DOI: 10.1109/TAAI.2015.7407122]: L. P. Wong and S. S. Choong. A bee colony optimization algorithm with frequent-closed-pattern-based pruning strategy for traveling salesman problem. In Proceedings of the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015), IEEE, 2015, pp. 308–314.