Dr. rer. nat. Chuan-Kang Ting

Professor

Computational Intelligence Lab
Department of Computer Science and Information Engineering
National Chung Cheng University

Office:

EA.506

E-Mail:

ckting_AT_cs.ccu.edu.tw

Phone:

+886-(0)5-272 0411 ext. 33115

Fax:

+886-(0)5-272 0859

   
Education
  • Dr. rer. nat., Computer Science, University of Paderborn, Germany (10/2002 - 10/2005)
  • M.S., National Tsing Hua University, Taiwan (09/1994 - 06/1996)
  • B.S., National Chiao Tung University, Taiwan (09/1990 - 06/1994)
Research Interests
  • Evolutionary Computation (EC)
  • Artificial Intelligence
  • Machine Learning
  • Memetic Computing
  • Multi-objective Optimization
  • EC in Intelligent Machinery, Data Mining, Bioinformatics, Networks, Music and Games

Join us! We are recruiting PhD and master students interested in the above research topics. You are more than welcome to contact me or any member of CI Lab (EA 505).
Honors and Awards
  • Runner-up Best Paper Award, Conference on Technologies and Applications of Artificial Intelligence (TAAI 2016)
  • Outstanding Service Award, National Chung Cheng University (2016)
  • Teaching Excellence Merit Pay, National Chung Cheng University (2011, 2012, 2013, 2014, 2015, 2016)
  • Annual Conference Award of Japanese Society of AI (JSAI 2013)
  • Best GOLD Member Award, IEEE Tainan Section (2011)
  • Advisor of Best Thesis Award, Taiwanese Association for Artificial Intelligence (2011)
  • Young Scholar Research Award, National Chung Cheng University (2010)
  • Distinguished Teaching Award, National Chung Cheng University (2010)
  • Scholarship of International Graduate School, University of Paderborn (2002-2005)
  • IEEE CIS Student Travel Grants (2001, 2003, 2005)
Teaching
Undergraduate
  • Object-Oriented Programming
  • Introduction to Artificial Intelligence
  • Probability Theory
Graduate
  • Evolutionary Computation (in English)
  • Metaheuristic Algorithms
  • Creative Intelligence
  • Probability and Stochastic Processes
  • Intelligent Vehicle Technology
  • Theory and Application of Evolutionary Algorithms @UPB (in English)
Publications
Journal Papers
  1. C.C. Liao and C.K. Ting. A novel integer-coded memetic algorithm for the set k-cover problem in wireless sensor networks. IEEE Transactions on Cybernetics, 2017.
  2. C.K. Ting, X.L. Liao, Y.H. Huang, and R.T. Liaw. Multi-vehicle selective pickup and delivery using metaheuristic algorithms. Information Sciences, 406:146–169, 2017.
  3. C.H. Liu and C.K. Ting. Computational intelligence in music composition: A survey. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(1):2–15, 2017.
  4. C.K. Ting, T.C. Wang, R.T. Liaw, and T.P. Hong. Genetic algorithm with a structurebased representation for genetic-fuzzy data mining. Soft Computing, 21(11):2871–2882, 2017.
  5. C.K. Ting, C.S. Lin, M.T. Chan, J.W. Chen, S.Y. Chuang, and Y.T. Huang. A genetic algorithm for diploid genome reconstruction using paired-end sequencing. PLoS ONE, 11(11):1–24, 2016.
  6. C.K. Ting, R.T. Liaw, T.C. Wang, and T.P. Hong. Mining fuzzy association rules using a memetic algorithm based on structure representation. Memetic Computing, 2016.
  7. C.H. Lin, R.H. Hwang, J.F. Lee, and C.K. Ting. Relay-aided downlink data broadcast in LTE-advanced or 802.16m WiMAX-based wireless networks. Journal of Internet Technology, 17(1):53–62, 2016.
  8. C.K. Ting, C.L. Wu, and C.H. Liu. A novel automatic composition system using evolutionary algorithm and phrase imitation. IEEE Systems Journal, 2015.
  9. C.K. Ting and X.L. Liao. The selective pickup and delivery problem: Formulation and a memetic algorithm. International Journal of Production Economics, 141(1):199–211, 2013.
  10. S.C. Su, C.J. Lin, and C.K. Ting. An effective hybrid of hill-climbing and genetic algorithm for 2D triangular protein structure prediction. Proteome Science, 9:S19, 2011.
  11. C.Y. Wang, R.H. Hwang, and C.K. Ting. UbiPaPaGo: Context-aware path planning. Expert Systems With Applications, 38(4):4150–4161, 2011.
  12. C.K. Ting and C.C. Liao. A memetic algorithm for extending wireless sensor network lifetime. Information Sciences, 180(24):4818–4833, 2010.
  13. C.K. Ting, W.T. Lin, and Y.T. Huang. Multi-objective tag SNPs selection using evolutionary algorithms. Bioinformatics, 26(11):1446–1452, 2010.
  14. C.K. Ting, W.M. Zeng, and T.C. Lin. Linkage discovery through data mining. IEEE Computational Intelligence Magazine, 5(1):10–13, 2010.
  15. C.K. Ting, C.H. Su, and C.N. Lee. Multi-parent extension of partially mapped crossover for combinatorial optimization problems. Expert Systems With Applications, 37(3):1879–1886, 2010.
  16. C.K. Ting, C.F. Ko, and C.H. Huang. Selecting survivors in genetic algorithm using tabu search strategies. Memetic Computing, 1(3):191–203, 2009.
  17. C.K. Ting, C.N. Lee, H.C. Chang, and J.S. Wu. Wireless heterogeneous transmitter placement using multiobjective variable-length genetic algorithm. IEEE Transactions on Systems, Man, and Cybernetics–Part B: Cybernetics, 39(4):945–958, 2009.
  18. C.K. Ting, S.T. Li, and C.N. Lee. On the harmonious mating strategy through tabu search. Information Sciences, 156:189–214, 2003.
  19. S.C. Lin and C.K. Ting. A new approach for detection of dimensions set in mechanical drawings. Pattern Recognition Letters, 18(4):367–373, 1997.
Conference Papers
  1. R.T. Liaw and C.K. Ting. Evolutionary many-tasking based on biocoenosis through symbiosis: A framework and benchmark problems. Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC2017), IEEE Press, 2017.
  2. Y.W. Wen and C.K. Ting. Parting ways and reallocating resources in evolutionary multitasking. Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC2017), IEEE Press, 2017.
  3. C.H. Liu and C.K. Ting. Fusing flamenco and argentine tango by evolutionary composition. Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC2017), IEEE Press, 2017.
  4. R.T. Liaw, Y.W. Chang, and C.K. Ting. Solving the selective pickup and delivery problem using max-min ant system. Proceedings of the Eighth International Conference on Swarm Intelligence (ICSI2017), Springer, 2017.
  5. L.Y. Yen, R.T. Liaw, T.C. Wang, and C.K. Ting. Varying population size and survival time in genetic algorithm. Proceedings of the 2016 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2016), IEEE Press, 2016. (*Runner-up Best Paper Award)
  6. R.T. Liaw and C.K. Ting. Enhancing covariance matrix adaptation evolution strategy through fitness inheritance. Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC2016), IEEE Press, 2016.
  7. T.C. Wang, R.T. Liaw, and C.K. Ting. MOEA/D using covariance matrix adaptation evolution strategy for complex multi-objective optimization problems. Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC2016), IEEE Press, 2016.
  8. Y.W. Wen and C.K. Ting. Learning ensemble of decision trees through multifactorial genetic programming. Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC2016), IEEE Press, 2016.
  9. Y.W. Chang, C.C. Liao, and C.K. Ting. An ant system for the selective pickup and delivery problem. Proceedings of the 2016 International Computer Symposium (ICS2016), IEEE Press, 2016.
  10. C.H. Liu and C.K. Ting. Music pattern mining for chromosome representation in evolutionary composition. Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC2015), pages 2145–2152, IEEE Press, 2015.
  11. X.L. Liao, C.H. Chien, and C.K. Ting. A genetic algorithm for the minimum latency pickup and delivery problem. Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC2014), IEEE Press, 2014.
  12. C.L. Wu, C.H. Liu, and C.K. Ting. A novel genetic algorithm considering measures and phrases for generating melody. Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC2014), IEEE Press, 2014.
  13. C.K. Ting, T.C. Wang, and R.T. Liaw. An efficient representation for genetic-fuzzy mining of association rules. Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), Springer, 2014.
  14. C.J. Lin, R.T. Liaw, and C.K. Ting. Considering reputation in the selection strategy of genetic programming. Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), Springer, 2014.
  15. S.Y. Feng and C.K. Ting. Painting using genetic algorithm with aesthetic evaluation of visual quality. Proceedings of the 2014 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2014), Springer, 2014.
  16. H.W. Chung and C.K. Ting. Multilevel broadcast recipient maximization in IEEE 802.16j using ant colony optimization. Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), IEEE Press, 2013.
  17. C.H. Liu and C.K. Ting. Evolutionary composition using music theory and charts. Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), IEEE Press, 2013.
  18. X.L. Liao and C.K. Ting. Solving the biobjective selective pickup and delivery problem with memetic algorithm. Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), IEEE Press, 2013.
  19. R.T. Liaw and C.K. Ting. Effect of model complexity for estimation of distribution algorithm in NK landscapes. Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), IEEE Press, 2013.
  20. X.L. Liao, W.C. Yang, and C.K. Ting. An evolutionary approach for the split pickup and delivery problem. Proceedings of the 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2013), 2013. (*Annual Conference Award)
  21. C.H. Liu and C.K. Ting. Polyphonic accompaniment using genetic algorithm with music theory. Proceedings of the 2012 IEEE Congress on Evolutionary Computation (CEC2012), IEEE Press, 2012.
  22. C.C. Liao and C.K. Ting. Extending the lifetime of dynamic wireless sensor networks by genetic algorithm. Proceedings of the 2012 IEEE Congress on Evolutionary Computation (CEC2012), IEEE Press, 2012.
  23. X.L. Liao and C.K. Ting. Evolutionary algorithms using adaptive mutation for the selective pickup and delivery problem. Proceedings of the 2012 IEEE Congress on Evolutionary Computation (CEC2012), IEEE Press, 2012.
  24. C.K. Ting, T.M. Chou, and C.C. Liao. Tabu search with random walk for lifetime extension in wireless sensor networks. Proceedings of the 2012 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2012), IEEE Press, 2012.
  25. C.Y. Chen, X.L. Liao, C.C. Liao, and C.K. Ting. Pattern formation based on potential field in real-time strategy games. Proceedings of the 2012 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2012), IEEE Press, 2012.
  26. Y.H. Huang and C.K. Ting. Genetic algorithm with path relinking for the multi-vehicle selective pickup and delivery problem. Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC2011), pp. 1818–1825, IEEE Press, 2011.
  27. C.S. Lin and C.K. Ting. Emergent tactical formation using genetic algorithm in real-time strategy games. Proceedings of the 2011 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2011), pages 325–330, IEEE Press, 2011.
  28. X.L. Liao and C.K. Ting. An evolutionary approach for the selective pickup and delivery problem. Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC2010). pp. 1–8, IEEE Press, 2010.
  29. Y.H. Huang and C.K. Ting. Ant colony optimization for the single vehicle pickup and delivery problem with time window. Proceedings of the 2010 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2010), pages 537–543, IEEE Press, 2010.
  30. C.K. Ting and C.H. Huang. Varying number of difference vectors in differential evolution. Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC2009), pp. 1351–1358. IEEE Press, 2009.
  31. C.K. Ting and C.F. Ko. Incorporating tabu search into the survivor selection of genetic algorithm. Proceedings of the 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC2008), pp. 553–558, IEEE Press, 2008.
  32. C.C. Liao and C.K. Ting. Extending wireless sensor network lifetime through order-based genetic algorithm. Proceedings of the 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC2008), pp. 1434–1439. IEEE Press, 2008.
  33. C.K. Ting and C.C. Chen. The effects of supermajority on multi-parent crossover. Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007), pp. 4524–4530, IEEE Press, 2007.
  34. C.C. Lai, C.K. Ting, and R.S. Ko. An effective genetic algorithm to improve wireless sensor network lifetime for large-scale surveillance applications. Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007), pp. 3531–3538, IEEE Press, 2007.
  35. C.K. Ting. Multi-parent extension of edge recombination. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO2007), ACM Press, 2007.
  36. C.C. Lai, C.K. Ting, and R.S. Ko. An effective genetic algorithm for improving wireless sensor network lifetime. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO2007), ACM Press, 2007.
  37. C.K. Ting. On the mean convergence time of multi-parent genetic algorithms without selection. Proceedings of the Eighth European Conference on Artificial Life (ECAL 2005), Lecture Notes in Artificial Life, vol. 3630, pp. 403–412, Springer-Verlag, 2005.
  38. C.K. Ting. On the convergence of multi-parent genetic algorithms. Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005), pp. 396–403, IEEE Press, 2005.
  39. O. Kramer, C.K. Ting, and H. Kleine Büning. A new mutation operator for evolutionary strategies for constrained problems.Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005), pp.2600–2606, IEEE Press, 2005.
  40. O. Kramer, C.K. Ting, and H. Kleine Büning. A mutation operator for evolutionary strategies to handle constrained problems. Proceedings of the 2005 Conference on Genetic and Evolutionary Computation (GECCO 2005), vol. 1, ACM Press, 2005.
  41. C.K. Ting. An analysis of the effectiveness of multi-parent crossover. Parallel Problem Solving from Nature (PPSN VIII), Lecture Notes in Computer Science, vol. 3242, pp. 131–140, Springer-Verlag, 2004.
  42. C.K. Ting. Improving edge recombination through alternate inheritance and greedy manner. Evolutionary Computation in Combinatorial Optimization (EvoCOP 2004), Lecture Notes in Computer Science, vol. 3004, pp. 210–219, Springer-Verlag, 2004.
  43. C.K. Ting and H. Kleine Büning. A mating strategy for multi-parent genetic algorithms by integrating tabu search. Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), pp.1259–1266, IEEE Press, 2003.
  44. S.T. Li, C.K. Ting, and C.N. Lee. Maintenance scheduling of oil storage tanks using tabu-based genetic algorithm. Proceedings of the Fourth IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), pp. 209–215, IEEE Press, 2002.
  45. C.K. Ting, S.T. Li, and C.N. Lee. TGA: A new integrated approach to evolutionary algorithms. Proceedings of the 2001 Congress on Evolutionary Computation (CEC2001), pp.917–924, IEEE Press, 2001.
  46. C.K. Ting, C.N. Lee, and S.T. Li. A novel hybrid optimization algorithm based on genetic algorithm and tabu searchnovel hybrid optimization algorithm based on genetic algorithm and tabu search. Proceedings of International Computer Symposium, pp. 157–162, 2000.
Professional Activities
Editorship
  • Associate Editor, IEEE Computational Intelligence Magazine, IEEE Press (2012-)
  • Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Press (2016-)
  • Editorial Board Member, Memetic Computing, Springer (2007-)
  • Editorial Board Member, Soft Computing, Springer (2012-)
  • Editorial Board Member, International Journal of Distributed Sensor Network, Sage (2014-2016)
  • Editorial Board Member, Applied Computational Intelligence and Soft Computing, Hindawi (2010-2017)
  • Guest Editor, Evolutionary Intelligence (2014)
  • Guest Editor, International Journal of Engineering, Science and Technology (2010)
  • Guest Editor, Applied Computational Intelligence and Soft Computing (2009)
Professional Services
Conference Organization
Invited Talks
  • An Overview of Evolutionary Computation (Conference on Experimental Design and Analysis (CEDA), 12/2016)
  • Evolutionary Algorithm for the Split Pickup and Delivery Problem (CSIE, National Pingtung University, 9/2016)
  • Evolutionary Algorithms for the Set K-Cover Problem (EE, National Chung Hsing University, 11/2015)
  • Evolutionary Algorithms for the Set K-Cover Problem (CSIE, National Central University, 11/2014)
  • Evolutionary Algorithms for the Set K-Cover Problem (EE, National Chia-Yi University, 3/2014)
  • An Evolutionary Approach for the Split Pickup and Delivery Problem (TW-UK Forum, 6/2013)
  • Evolutionary Algorithms for the Set K-Cover Problem (AI Forum, 5/2013)
  • Extending Wireless Sensor Network Lifetime Using Genetic Algorithm (MIS, National Pingtung University of Science and Technology 5/2013)
  • Evolutionary Algorithms for Wireless Sensor Network Lifetime Extension (SCE, Nanyang Technological University, Singapore, 12/2011)
  • Genetic Algorithm for Wireless Sensor Network Lifetime Extension (CSIE, National University of Kaohsiung, 01/2011)
  • Introduction to Evolutionary Computation (BMI, National Yang-Ming University, 10/2010)
  • Genetic Algorithm for Wireless Sensor Network Lifetime Extension (CCE, National Kaohsiung First University of Science and Technology, 04/2010)
  • Metaheuristic Algorithms for Extending Wireless Sensor Network Lifetime (IIS, Academia Sinica, 02/2010)
  • Research at CI Lab (CS, University of Paderborn, Germany, 06/2009)
  • Multi-Parent Genetic Algorithms (CSIE, National Chung Cheng University, 12/2006)
  • Multi-Parent Genetic Algorithms (CSIE, National Chia-Yi University, 11/2006)
  • Design and Analysis of Multi-Parent Genetic Algorithms (CSE, National Sun Yat-Sen University, 03/2006)