(For a complete list, please see Google Scholar and DBLP.)
 Journal Papers
 Y.W. Wen and C.K. Ting. Recent advances of computational intelligence techniques for composing music. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022.
 Y.W. Wen, S.H. Peng, and C.K. Ting. Twostage evolutionary neural architecture search for transfer learning. IEEE Transactions on Evolutionary Computation, 25(5):928–940, 2021.
 R.T. Liaw and C.K. Ting. Evolution of biocoenosis through symbiosis with fitness approximation for manytasking optimization. Memetic Computing, 12(4):399–417, 2020.
 C.C. Liao and C.K. Ting. A novel integercoded memetic algorithm for the set kcover problem in wireless sensor networks. IEEE Transactions on Cybernetics, 48(8):2245–2258, 2018.
 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, 10(1):15–28, 2018.
 C.K. Ting, X.L. Liao, Y.H. Huang, and R.T. Liaw. Multivehicle selective pickup and delivery using metaheuristic algorithms. Information Sciences, 406:146–169, 2017.
 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.
 C.K. Ting, C.L. Wu, and C.H. Liu. A novel automatic composition system using evolutionary algorithm and phrase imitation. IEEE Systems Journal, 11(3):1284–1295, 2017.
 C.K. Ting, T.C. Wang, R.T. Liaw, and T.P. Hong. Genetic algorithm with a structurebased representation for geneticfuzzy data mining. Soft Computing, 21(11):2871–2882, 2017.
 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 pairedend sequencing. PLoS ONE, 11(11):1–24, 2016.
 C.H. Lin, R.H. Hwang, J.F. Lee, and C.K. Ting. Relayaided downlink data broadcast in LTEadvanced or 802.16m WiMAXbased wireless networks. Journal of Internet Technology, 17(1):53–62, 2016.
 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.
 S.C. Su, C.J. Lin, and C.K. Ting. An effective hybrid of hillclimbing and genetic algorithm for 2D triangular protein structure prediction. Proteome Science, 9:S19, 2011.
 C.Y. Wang, R.H. Hwang, and C.K. Ting. UbiPaPaGo: Contextaware path planning. Expert Systems With Applications, 38(4):4150–4161, 2011.
 C.K. Ting and C.C. Liao. A memetic algorithm for extending wireless sensor network lifetime. Information Sciences, 180(24):4818–4833, 2010.
 C.K. Ting, W.T. Lin, and Y.T. Huang. Multiobjective tag SNPs selection using evolutionary algorithms. Bioinformatics, 26(11):1446–1452, 2010.
 C.K. Ting, W.M. Zeng, and T.C. Lin. Linkage discovery through data mining. IEEE Computational Intelligence Magazine, 5(1):10–13, 2010.
 C.K. Ting, C.H. Su, and C.N. Lee. Multiparent extension of partially mapped crossover for combinatorial optimization problems. Expert Systems With Applications, 37(3):1879–1886, 2010.
 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.
 C.K. Ting, C.N. Lee, H.C. Chang, and J.S. Wu. Wireless heterogeneous transmitter placement using multiobjective variablelength genetic algorithm. IEEE Transactions on Systems, Man, and Cybernetics–Part B: Cybernetics, 39(4):945–958, 2009.
 C.K. Ting, S.T. Li, and C.N. Lee. On the harmonious mating strategy through tabu search. Information Sciences, 156:189–214, 2003.
 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
 M.H. Lu, Y.W. Wen, and C.K. Ting. Searching crease patterns by genetic algorithm for origami design. Proceedings of the 2022 IEEE Congress on Evolutionary Computation (CEC2022), IEEE Press, 2022.
 Y.F. Chang and C.K. Ting. Multiple crossover and mutation operators enabled genetic algorithm for nonslicing VLSI floorplanning. Proceedings of the 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2022.
 Y.W. Wen and C.K. Ting. Composing bossa nova by evolutionary computation. Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN), IEEE Press, 2020.
 R.T. Liaw and C.K. Ting. Evolutionary manytasking optimization based on symbiosis in biocoenosis. Proceedings of the 2019 AAAI Conference on Artificial Intelligence (AAAI), AAAI Press, 2019.
 Y.H. Shih and C.K. Ting. Evolutionary optimization on knearest neighbors classifier for imbalanced datasets. Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2019.
 T.C. Wang, C.Y. Lin, R.T. Liaw, and C.K. Ting. Empirical analysis of island model on large scale global optimization. Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2019.
 K.J. Huang, Y.W. Wen, and C.K. Ting. Enhancing knearest neighbors through learning transformation functions by genetic programming. Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2019.
 R.T. Liaw and C.K. Ting. Incorporating fitness inheritance and knearest neighbors for evolutionary dynamic optimization. Proceedings of the 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2018.
 T.C. Wang and C.K. Ting. Fitness inheritance assisted MOEA/DCMAES for complex multiobjective optimization problems. Proceedings of the 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2018.
 Y.W. Wen and C.K. Ting. Designing facility layouts with hard and soft constraints by evolutionary algorithm. Proceedings of the 2018 International Conference on Artificial Intelligence for Industries (AI4I), IEEE Press, 2018.
 R.T. Liaw and C.K. Ting. Evolutionary manytasking based on biocoenosis through symbiosis: A framework and benchmark problems. Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC2017), IEEE Press, 2017.
 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.
 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.
 R.T. Liaw, Y.W. Chang, and C.K. Ting. Solving the selective pickup and delivery problem using maxmin ant system. Proceedings of the Eighth International Conference on Swarm Intelligence (ICSI2017), Springer, 2017.
 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. (*Runnerup Best Paper Award)
 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.
 T.C. Wang, R.T. Liaw, and C.K. Ting. MOEA/D using covariance matrix adaptation evolution strategy for complex multiobjective optimization problems. Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC2016), IEEE Press, 2016.
 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.
 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.
 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.
 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.
 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.
 C.K. Ting, T.C. Wang, and R.T. Liaw. An efficient representation for geneticfuzzy mining of association rules. Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), Springer, 2014.
 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.
 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.
 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.
 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.
 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.
 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.
 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)
 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.
 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.
 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.
 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.
 C.Y. Chen, X.L. Liao, C.C. Liao, and C.K. Ting. Pattern formation based on potential field in realtime strategy games. Proceedings of the 2012 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2012), IEEE Press, 2012.
 Y.H. Huang and C.K. Ting. Genetic algorithm with path relinking for the multivehicle selective pickup and delivery problem. Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC2011), pp. 1818–1825, IEEE Press, 2011.
 C.S. Lin and C.K. Ting. Emergent tactical formation using genetic algorithm in realtime strategy games. Proceedings of the 2011 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2011), pages 325–330, IEEE Press, 2011.
 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.
 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.
 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.
 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.
 C.C. Liao and C.K. Ting. Extending wireless sensor network lifetime through orderbased genetic algorithm. Proceedings of the 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC2008), pp. 1434–1439. IEEE Press, 2008.
 C.K. Ting and C.C. Chen. The effects of supermajority on multiparent crossover. Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007), pp. 4524–4530, IEEE Press, 2007.
 C.C. Lai, C.K. Ting, and R.S. Ko. An effective genetic algorithm to improve wireless sensor network lifetime for largescale surveillance applications. Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007), pp. 3531–3538, IEEE Press, 2007.
 C.K. Ting. Multiparent extension of edge recombination. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO2007), ACM Press, 2007.
 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.
 C.K. Ting. On the mean convergence time of multiparent 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, SpringerVerlag, 2005.
 C.K. Ting. On the convergence of multiparent genetic algorithms. Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005), pp. 396–403, IEEE Press, 2005.
 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.
 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.
 C.K. Ting. An analysis of the effectiveness of multiparent crossover. Parallel Problem Solving from Nature (PPSN VIII), Lecture Notes in Computer Science, vol. 3242, pp. 131–140, SpringerVerlag, 2004.
 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, SpringerVerlag, 2004.
 C.K. Ting and H. Kleine Büning. A mating strategy for multiparent genetic algorithms by integrating tabu search. Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), pp.1259–1266, IEEE Press, 2003.
 S.T. Li, C.K. Ting, and C.N. Lee. Maintenance scheduling of oil storage tanks using tabubased genetic algorithm. Proceedings of the Fourth IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), pp. 209–215, IEEE Press, 2002.
 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.
 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.
