Genetic Programming Bibliography entries for Kit Yan Chan

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GP coauthors/coeditors: Mehmet Emin Aydin, Terence C Fogarty, Che Kit Kwong, T C Wong, Y C Tsim, Tharam S Dillon, Sing Ho Ling, Hung Nguyen, Hak-Keung Lam, Sai Ho Ling, Cedric Ka Fai Yiu, Gul E Kremer, Huimin Jiang,

Genetic Programming Articles by Kit Yan Chan

  1. Kit Yan Chan and Hak-Keung Lam and Huimin Jiang. A genetic programming-based convolutional neural network for image quality evaluations. Neural Computing and Applications, 34(18) 2022. details

  2. Kit Yan Chan and C. K. Kwong and Huimin Jiang. Analyzing imbalanced online consumer review data in product design using geometric semantic genetic programming. Engineering Applications of Artificial Intelligence, 105:104442, 2021. details

  3. Kit Yan Chan and C. K. Kwong and Gul E. Kremer. Predicting customer satisfaction based on online reviews and hybrid ensemble genetic programming algorithms. Engineering Applications of Artificial Intelligence, 95:103902, 2020. details

  4. Kit Yan Chan and Hak-Keung Lam and Cedric Ka Fai Yiu and Tharam S. Dillon. A Flexible Fuzzy Regression Method for Addressing Nonlinear Uncertainty on Aesthetic Quality Assessments. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8):2363-2377, 2017. details

  5. Kit Yan Chan and Hak Keung Lam and Tharam S. Dillon and Sai Ho Ling. A Stepwise-Based Fuzzy Regression Procedure for Developing Customer Preference Models in New Product Development. IEEE Transactions on Fuzzy Systems, 23(5):1728-1745, 2015. details

  6. Kit Yan Chan and C. K. Kwong. Modeling of epoxy dispensing process using a hybrid fuzzy regression approach. The International Journal of Advanced Manufacturing Technology, 65(1-4):589-600, 2013. details

  7. Kit Yan Chan and C. K. Kwong and T. C. Wong. Modelling customer satisfaction for product development using genetic programming. Journal of Engineering Design, 22(1):55-68, 2011. details

  8. K. Y. Chan and S. H. Ling and T. S. Dillon and H. T. Nguyen. Diagnosis of hypoglycemic episodes using a neural network based rule discovery system. Expert Systems with Applications, 38(8):9799-9808, 2011. details

  9. K. Y. Chan and C. K. Kwong and T. S. Dillon and Y. C. Tsim. Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming. Applied Soft Computing, 11(2):1648-1656, 2011. The Impact of Soft Computing for the Progress of Artificial Intelligence. details

  10. Kit Yan Chan and Tharam S. Dillon and C. K. Kwong. Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm. Information Sciences, 181(9):1623-1640, 2011. details

  11. K. Y. Chan and C. K. Kwong and Y. C. Tsim. A genetic programming based fuzzy regression approach to modelling manufacturing processes. International Journal of Production Research, 48(7):1967-1982, 2010. details

  12. K. Y. Chan and C. K. Kwong and T. C. Fogarty. Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers. Information Sciences, 180(4):506-518, 2010. details

Genetic Programming conference papers by Kit Yan Chan

  1. K. Y. Chan and T. S. Dillon and S. H. Ling and C. K. Kwong. Manufacturing modeling using an evolutionary fuzzy regression. In IEEE International Conference on Fuzzy Systems (FUZZ 2011), pages 2261-2267, Taipei, Taiwan, 2011. details

  2. K. Y. Chan and T. S. Dillon and C. K. Kwong and S. H. Ling. Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products. In 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011), pages 526-531, Beijing, China, 2011. details

  3. K. Y. Chan and T. S. Dillon and C. K. Kwong. Using an evolutionary fuzzy regression for affective product design. In IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), Barcelona, Spain, 2010. IEEE Press. details

  4. Kit Yan Chan and Tharam Singh Dillon and Che Kit Kwong. Polynomial modeling for manufacturing processes using a backward elimination based genetic programming. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  5. Kit Yan Chan and Sing Ho Ling and Tharam Singh Dillon and Hung Nguyen. Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  6. Kit Yan Chan and Terence C. Fogarty. An Evolutionary Algorithm for the Input-Output Block Assignment Problem. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 250-258, Coimbra, Portugal, 2004. Springer-Verlag. details

  7. Kit Yan Chan and Terence C. Fogarty. Experimental design based multi-parent crossover operator. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 297-306, Essex, 2003. Springer-Verlag. details

  8. Kit Yan Chan and M. Emin Aydin and Terence C. Fogarty. New Factorial Design Theoretic Crossover Operator for Parametrical Problem. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 22-33, Essex, 2003. Springer-Verlag. details

Genetic Programming book chapters by Kit Yan Chan