Genetic Programming Bibliography entries for Kay Chen Tan

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GP coauthors/coeditors: Brian Ji Hua Ang, E J Teoh, Chin Hiong Tan, K C Goh, Grant Dick, Will N Browne, Peter Alexander Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Ke Tang, Su Nguyen, Mark Johnston, Damminda Alahakoon, Dhananjay Thiruvady, A Tay, Tong Heng Lee, C M Heng, Qi Yu, Fangfang Zhang, Yi Mei,

Genetic Programming Articles by Kay Chen Tan

  1. Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang. Instance Rotation Based Surrogate in Genetic Programming with Brood Recombination for Dynamic Job Shop Scheduling. IEEE Transactions on Evolutionary Computation, 27(5):1192-1206, 2023. details

  2. Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang. Task Relatedness Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation, 27(6):1705-1719, 2023. details

  3. Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang. Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Transactions on Cybernetics, 52(10):10515-10528, 2022. details

  4. Su Nguyen and Dhananjay Thiruvady and Mengjie Zhang and Kay Chen Tan. A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. IEEE Transactions on Evolutionary Computation, 25(3):492-507, 2021. details

  5. Su Nguyen and Mengjie Zhang and Damminda Alahakoon and Kay Chen Tan. People-Centric Evolutionary System for Dynamic Production Scheduling. IEEE Transactions on Cybernetics, 51(3):1403-1416, 2021. details

  6. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang and Kay Chen Tan. Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation, 25(4):651-665, 2021. details

  7. Su Nguyen and Mengjie Zhang and Damminda Alahakoon and Kay Chen Tan. Visualizing the Evolution of Computer Programs for Genetic Programming. IEEE Computational Intelligence Magazine, 13(4):77-94, 2018. details

  8. Su Nguyen and Mengjie Zhang and Kay Chen Tan. Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules. IEEE Transactions on Cybernetics, 47(9):2951-2965, 2017. details

  9. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. IEEE Transactions on Cybernetics, 45(1):1-14, 2015. details

  10. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. IEEE Transactions on Evolutionary Computation, 18(2):193-208, 2014. details

  11. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Genetic Programming for Evolving Due-date Assignment Models in Job Shop Environments. Evolutionary Computation, 22(1):105-138, 2014. details

  12. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Learning iterative dispatching rules for job shop scheduling with genetic programming. The International Journal of Advanced Manufacturing Technology, 67(1-4):85-100, 2013. details

  13. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. IEEE Transactions on Evolutionary Computation, 17(5):621-639, 2013. details

  14. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Hybrid evolutionary computation methods for quay crane scheduling problems. Computer \& Operations Research, 40(8):2083-2093, 2013. details

  15. K. C. Tan and Q. Yu and C. M. Heng and T. H. Lee. Evolutionary computing for knowledge discovery in medical diagnosis. Artificial Intelligence in Medicine, 27(2):129-154, 2003. details

Genetic Programming Conference proceedings edited by Kay Chen Tan

Genetic Programming conference papers by Kay Chen Tan

  1. Su Nguyen and Mengjie Zhang and Kay Chen Tan. Adaptive charting genetic programming for dynamic flexible job shop scheduling. In Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1159-1166, Kyoto, Japan, 2018. ACM. details

  2. Su Nguyen and Mengjie Zhang and Kay Chen Tan. Enhancing Genetic Programming based Hyper-Heuristics for Dynamic Multi-objective Job Shop Scheduling Problems. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2781-2788, Sendai, Japan, 2015. IEEE Press. details

  3. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 656-667, 2014. Springer. details

  4. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Learning Reusable Initial Solutions for Multi-Objective Order Acceptance and Scheduling Problems with Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 157-168, Vienna, Austria, 2013. Springer Verlag. details

  5. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 121-133, Malaga, Spain, 2012. Springer Verlag. details

  6. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. In Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan editors, The Ninth International Conference on Simulated Evolution And Learning, SEAL 2012, volume 7673, pages 341-350, Vietnam, 2012. Springer. details

  7. Su Nguyen and Mengjie Zhang and Mark Johnston and Tan Kay Chen. A Coevolution Genetic Programming Method to Evolve Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling Problems. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 3332-3339, Brisbane, Australia, 2012. details

  8. J. H. Ang and E. J. Teoh and C. H. Tan and K. C. Goh and K. C. Tan. Dimension Reduction Using Evolutionary Support Vector Machines. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 3634-3641, Hong Kong, 2008. IEEE Press. details

  9. K. C. Tan and A. Tay and T. H. Lee and C. M. Heng. Mining multiple comprehensible classification rules using genetic programming. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 1302-1307, 2002. IEEE Press. details

Genetic Programming book chapters by Kay Chen Tan