Assistant Professor Eur Ing. Ts. Dr. Lim Wei Hong

Research Impact:

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Assistant Professor Eur Ing. Ts. Dr. Lim Wei Hong


Deputy Dean | Department of Mechanical Engineering

Academic Qualifications

PhD Electrical and Electronics Engineering 
BEng (Hons) Mechatronic Engineering

Areas of Interest
Computational Intelligence (Evolutionary Computation and Swarm Intelligence)
Energy Manageent Optimization
Digital Image Processing
Professional Bodies

  1. Graduate Member of Board of Engineers Malaysia (BEM)
  2. Member of Institution of Engineering & Technology (IET)
  3. Member of IEEE


Research Grants 

  1. Name of grant: Fundamental Research Grant Scheme (FRGS)
    Funder: Ministry of Education, Malaysia
    Project Title: Enhanced Differential Evolution Algorithm by Balancing the Exploitation and Exploration Search Behavior for Data Clustering
    Code: FRGS/1/2018/TK04/USM/01/2
    Durations: 1st Jan 2019 to 31st Dec 2021
    Role: Co-Investigator
    Amount: RM 78000
    Status: On-Going
  2. Name of grant: PSIF Research Grant
    Funder: UCSI Universitiy
    Project Title: Development of Charging Management Strategy For Electric Vehicle Using Swarm Intelligence Approach
    Code: Proj-In-FETBE-050
    Durations: 1st Sep 2018 to 31st Aug 2020
    Role: Principal Investigator
    Amount: RM 17800
    Status: On-Going

Current Reserach Project

  1. Development of Improved Teaching-Learning-Based Optimization Algorithms
  2. Application of Improved Teaching-Learning-Based Optimization Algorithms in Desigining Robust Feedback Control System
  3. Application of Improved Teaching-Learning-Based Optimization Algorithms in Solving Multiobjective Machining Problems


  1. Lim W. H., Mat Isa N. A., Tiang S. S., Tan T. H., Natarajan E. and Wong C. H. (2018) A self-adaptive topologically connected-based particle swarm optimization. IEEE Access, 6(1), pp. 653-65366
  2. Natarajan, E., Kaviarasan, V., Lim, W. H., Tiang, S. S. and Tan, T. H. (2018) Enhanced multi-objective teaching-learning-based optimization for machining of Delrin. IEEE Access, 6(1), pp. 51528-51546
  3. Yao, L, Lim, W. H., Tiang, S. S., Tan, T. H., Wong, C. H. an Pang, J. Y. (2018) Demand bidding optimization for an aggregator with a genetic algorithm. Energies, 11(10), pp. 1-22
  4. Yao L. and Lim W. H. (2018) Optimal purchase strategy for demand bidding. IEEE Transactions on Power System, 33(3), pp. 2754-2762.
  5. Yao L, Yao L., and Lim W. H. (2018) A soft curtailment of wide-area central air conditioning load. Energies, 11(3), pp. 492
  6. Yao L, Damiran Z. and Lim W. H. (2017) Optimal charging and discharging scheduling for electric vehicles in a parking station with photovoltaic system and energy storage system. Energies, 10(4), pp. 559
  7. Mohd Jain Noordin M. N., Mat Isa N. A., and Lim W. H. (2017) Saturation avoidance color correction for digital color images. Multimedia Tools and Applications, 76(7), pp. 10279-10312.
  8. Yao L, Lim W. H. and Tsai T. S. (2017) A real-time charging scheme for demand response in electric vehicle. IEEE Transactions on Smart Grid, 8(1), pp. 52-62.
  9. Lim W. H. and Mat Isa N. A. (2015) Adaptive division of labor particle swarm optimization. Expert Systems with Application, 42(14), pp. 5887-5903.
  10. Lim W. H. and Mat Isa N. A. (2014) Particle swarm optmization with dual-level task allocation. Engineering Applications of Artificial Intelligence, 38, pp. 88-110.