A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems. - Choo Jun Tan; Chee Peng Lim; Yu-N Cheah (J. Intell. Fuzzy Syst., 2013)

A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models. - Choo Jun Tan; Chee Peng Lim; Yu-N Cheah (Neurocomputing, 2014)

A multi-objective evolutionary algorithm-based decision support system: A case study on job-shop scheduling in manufacturing. - Choo Jun Tan; Samer Hanoun; Chee Peng Lim (SysCon, 2015)

A Q-learning-based multi-agent system for data classification. - Farhad Pourpanah; Choo Jun Tan; Chee Peng Lim; Junita Mohamad-Saleh (Appl. Soft Comput., 2017)

Feature selection based on brain storm optimization for data classification. - Farhad Pourpanah; Yuhui Shi 001; Chee Peng Lim; Qi Hao; Choo Jun Tan (Appl. Soft Comput., 2019)

A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. - Farhad Pourpanah; Chee Peng Lim; Xizhao Wang; Choo Jun Tan; Manjeevan Seera; Yuhui Shi 001 (Neurocomputing, 2019)

An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. - Farhad Pourpanah; Ran Wang 001; Chee Peng Lim; Xizhao Wang; Manjeevan Seera; Choo Jun Tan (Neurocomputing, 2019)

Application of an evolutionary algorithm-based ensemble model to job-shop scheduling. - Choo Jun Tan; Siew Chin Neoh; Chee Peng Lim; Samer Hanoun; Wai Peng Wong; Chu Kong Loo; Li Zhang 013; Saeid Nahavandi (J. Intell. Manuf., 2019)

Optimal Design of SMPMSM Using Genetic Algorithm Based on Finite Element Model. - Syauqina Akmar Mohd-Shafri; Tow Leong Tiang; Dahaman Ishak; Choo Jun Tan; Mohd Saufi Ahmad; Jenn-Hwai Leong; Hui Lin Ong (RoViSP, 2021)

An Innovative TRIZ Insight on the Pilot Test Run Issue in NPI Through Intelligent System. - Wei Chien Ng; Sin Yin Teh; Choo Jun Tan; Ping Chow Teoh (RoViSP, 2021)

An information entropy-based evolutionary computation for multi-factorial optimization. - Ting Yee Lim; Choo Jun Tan; Wai Peng Wong; Chee Peng Lim (Appl. Soft Comput., 2022)

An intelligent tool for early drop-out prediction of distance learning students. - Choo Jun Tan; Ting Yee Lim; Teik Kooi Liew; Chee Peng Lim (Soft Comput., 2022)

Beta distribution-based monogamous pairs genetic algorithm for knowledge transfer in many-task optimization. - Ting Yee Lim; Choo Jun Tan; Yi Wen Kerk; Li Zhang 013; Chee Peng Lim (Knowl. Based Syst., 2025)

Stepwise monogamous pairing genetic algorithm method applied to a multi-depot vehicle routing problem with time windows. - Ting Yee Lim; Xin Ju Ng; Choo Jun Tan; Chee Peng Lim (Neural Comput. Appl., 2025)