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Updated: March 01, 2022

Tel: +886-3-5712121 ext 31446 Natural Computing Laboratory
Tel: +1-800-409-9811 ext 31446 (from USA) Department of Computer Science
Fax: +886-3-5724176 National Yang Ming Chiao Tung University
Email: ypchen@cs.nycu.edu.tw 1001 Ta Hsueh Road, HsinChu City 30010, TAIWAN


YING-PING CHEN

RESEARCH INTERESTS

Evolutionary Computation, with an emphasis on theories, working principles, and potential real-world applications; Understanding Intelligence from computational perspectives and via computational mechanisms.

RESEARCH EXPERIENCE

Aug. 2014 – Present
Professor
Aug. 2009 – Jul. 2014
Associate Professor
Aug. 2004 – Jul. 2009
Assistant Professor
Department of Computer Science
National Chiao Tung University, HsinChu City, Taiwan
Sep. 2002 – May 2004
Graduate Assistant
Digital Image Laboratory, Grainger Engineering Library
Library Research and Publication, University of Illinois at Urbana-Champaign
Jan. 2001 – Aug. 2002
Graduate Research Assistant
Illinois Genetic Algorithms Laboratory
Department of General Engineering, University of Illinois at Urbana-Champaign
Aug. 1999 – May 2000
Graduate Research Assistant
Hierarchical Distributed Dynamic Indexing Group
National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign

EDUCATION

Aug. 1999 – May 2004
Ph.D. in Computer Science
Department of Computer Science
University of Illinois at Urbana-Champaign, Illinois, USA

Dissertation: Extending the Scalability of Linkage Learning Genetic Algorithms: Theory and Practice
Advisor: Professor David E. Goldberg, Department of General Engineering
Graduate GPA: 3.82/4.00
Sep. 1995 – May 1997
Master of Science
Graduate Institute of Computer Science and Information Engineering
National Taiwan University, Taipei City, Taiwan

Thesis: Stochastic Sketching: A New Method for Global Optimization
Advisor: Professor Cheng-Yan Kao
Graduate GPA: 4.00/4.00
Sep. 1991 – May 1995
Bachelor of Science in Engineering
Department of Computer Science and Information Engineering
National Taiwan University, Taipei City, Taiwan

Graduate GPA: 3.76/4.00

HONORS AND AWARDS

2022
National Yang Ming Chiao Tung University Outstanding Performance Honor
2021
National Yang Ming Chiao Tung University Outstanding Performance Honor
2020
National Chiao Tung University Outstanding Performance Honor: Teaching
2019
National Chiao Tung University Outstanding Performance Honor: Teaching
National Chiao Tung University Excellent Teaching Award
National Chiao Tung University Excellent Mentor Award
2018
National Chiao Tung University Outstanding Performance Honor: Research
National Chiao Tung University Excellent Teaching Award
2017
National Chiao Tung University Outstanding Performance Honor: Research
2016
National Chiao Tung University Outstanding Performance Honor: Research
National Chiao Tung University Best Mentor Award
College of Computer Science, NCTU Excellent Teaching Award
2015
National Chiao Tung University Outstanding Performance Honor: Research
National Chiao Tung University Excellent Teaching Award
2014
Best paper award: The 28th IEEE International Conference on Advanced Information Networking and Applications (AINA-2014)
College of Computer Science, NCTU Excellent Teaching Award
National Chiao Tung University Outstanding Performance Honor: Service
2013
National Chiao Tung University Outstanding Performance Honor: Service
2012
National Chiao Tung University Outstanding Performance Honor: Research
2011
National Chiao Tung University Outstanding Performance Honor: Research
2009
National Chiao Tung University Excellent Teaching Award
2008
National Chiao Tung University Outstanding Performance Honor: Research
Best paper award nomination: ACM SIGEVO Genetic and Evolutionary Computation Conference (ACM SIGEVO GECCO)
2007
National Chiao Tung University Outstanding Performance Honor: Research
Best paper award nomination: ACM SIGEVO Genetic and Evolutionary Computation Conference (ACM SIGEVO GECCO)
2004
Genetic and Evolutionary Computation Conference 2004 (GECCO-2004) Student Travel Grant Award
IEEE Neural Network Society (IEEE NNS) 2004 Student Travel Grant
2003
Genetic and Evolutionary Computation Conference 2003 (GECCO-2003) Student Travel Grant Award
2002
Best paper award of the Graduate Student Workshop of Genetic and Evolutionary Computation Conference 2002 (GECCO-2002)
Genetic and Evolutionary Computation Conference 2002 (GECCO-2002) Student Travel Grant Award
Sep. 1996 – Jun. 1997
The Ministry of Education Fellowship, Taiwan
Sep. 1995 – Jun. 1996
The Ministry of Education Scholarship, Taiwan
Jun. 1994
The Presidential Award of the National Taiwan University

PROFESSIONAL ACTIVITIES

Organizations

Jan. 2013 – Present
Member of the Institute of Electronics, Information and Communication Engineers (IEICE)
Apr. 2004 – Present
Member of the Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Nov. 1999 – Present
Member of the Association for Computing Machinery (ACM)
Jul. 2000 – Dec. 2004
Member of the International Society for Genetic and Evolutionary Computation (ISGEC)

Conferences

2022
Program committee: AAAI-2022, GECCO-2022, EvoAPPS 2022, ICCC-2022, LOD 2022
2021
Program committee: AAAI-2021, GECCO-2021, EvoAPPS 2021, LOD 2021
2020
International advisory board: ISMSI 2020
Program committee: AAAI-2020, IJCAI-2020, ECAI 2020, GECCO-2020, PPSN 2020, EvoAPPS 2020, ICICT 2020, LOD 2020, ACN’20, TAAI 2020
2019
Organizer: TAEA 2019 (Co-Chair)
Program committee: AAAI-2019, GECCO-2019, LOD 2019, SEMCCO 2019 & FANCCO 2019, ACN’19, ICACI 2019, TAAI 2019
2018
Program committee: GECCO-2018, PPSN 2018, LOD 2018, TAAI 2018
2017
Program committee: GECCO-2017, EvoNUM 2017, MC 2017 at CEC 2017, SEAL 2017, IBICA 2017, NaBIC 2017, WICT 2017
2016
Organizer: TAAI 2016 (Workshop Chair), TAEA 2016 (Co-Chair)
Program committee: GECCO-2016, EvoNUM 2016, PPSN 2016, MOD 2016, NaBIC 2016, HIS 2016, MBEA 2016 at IEEE SSCI 2016, ISDA 2016, WICT 2016, SoCPaR 2016
2015
Organizer: TAEA 2015 (Co-Chair)
Program committee: GECCO-2015, EvoNUM 2015, SoCPaR 2015, IES 2015, HIS 2015, TAAI 2015, WICT 2015
2014
Organizer: TAEA 2014 (Co-Chair)
Program committee: GECCO-2014, EvoNUM 2014, NaBIC 2014, SoCPaR 2014, PPSN 2014, IES 2014, WICT 2014, TAAI 2014, MC 2014 at SSCI 2014, HIS 2014, SEAL 2014
2013
Organizer: TAEA 2013 (Co-Chair), SIDM 2013 (Co-Chair)
Program committee: GECCO-2013, Special Session on Evolutionary Algorithms with Statistical & Machine Learning Techniques at CEC 2013, EvoNUM 2013, FoCI 2013 and MC 2013 at SSCI 2013, BioCom’13, ECAL 2013, IDEAL’13, HIS 2013, ISDA 2013, WICT 2013
2012
Organizer: TAEA 2012 (Co-Chair)
Program committee: EvoNUM 2012, PPSN 2012, Special Sessions on Evolutionary Algorithms with Statistical & Machine Learning Techniques, Evolutionary Computation in Scheduling, and Evolutionary Computational Intelligence in Communications and Networking at WCCI 2012 (CEC 2012), TAAI 2012, ICASCE 2012, IBICA-2012, ISDA’12, HIS’12
2011
Organizer: TAEA 2011 (Co-Chair)
Program committee: GECCO-2011, TAAI 2011, EvoNUM 2011, DEIT 2011, FoCI-2011, HIS’11
2010
International Steering Committee: ICCP-2010
Organizer: TAAI 2010 (Workshop Co-Chair), TAEA 2010 (Co-Chair)
Program committee: GECCO-2010, WCCI 2010 (CEC 2010), EvoNUM 2010, NaBIC 2010, SoCPaR 2010, PPSN 2010, ICEC 2010
2009
Organizer: GECCO-2009 (Late Breaking Papers Chair)
Program committee: GECCO-2009, CEC 2009, EvoNUM 2009, ICEC 2009, NaBIC 09, SoCPaR 2009
2008
Program committee: GECCO-2008, EvoNUM 2008, SEAL 2008, ISICA 2008, WSSEC08
Technical committee: WCCI 2008 (CEC 2008)
2007
Organizer: LEC 2007 at CEC 2007
Program committee: GECCO-2007, CEC 2007, ISICA 2007
2006
Program committee: GECCO-2006
Technology committee: ODEA at SEAL 2006
2005
Program committee: GECCO-2005, MAM at IEEE EEE05
2004
Program committee: GECCO-2004
2003
Program committee: GECCO-2003

Publications

ACADEMIC PUBLICATIONS

Journal Papers

  1. Handoyo, S., Chen, Y.-p., Irianto, G., & Widodo, A. (2021). The varying threshold values of logistic regression and linear discriminant for classifying fraudulent firm. Mathematics and Statistics, ‍9(2), 135–143. doi: 10.13189/ms.2021.090207.
  2. Handoyo, S., & Chen, Y.-p. (2020). The developing of fuzzy system for multiple time series forecasting with generated rule bases and optimized consequence part. International Journal of Engineering Trends and Technology, ‍68(12), 118–122. doi: 10.14445/22315381/IJETT-V68I12P220.
  3. Chang, C.-y., & Chen, Y.-p. (2020). AntsOMG: A framework aiming to automate creativity and intelligent behavior with a showcase on cantus firmus composition and style development. Electronics, ‍9(8), 1212. doi: 10.3390/electronics9081212. (SCI). GitHub Repo.
  4. Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2016). Impacts of task re-execution policy on MapReduce jobs. The Computer Journal, ‍59(5), 701–714. doi: 10.1093/comjnl/bxv105. (SCI).
  5. Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2015). Pareto-based cache replacement for YouTube. World Wide Web, ‍18(6), 1523–1540. doi: 10.1007/s11280-014-0318-9. (SCI, EI).
  6. Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2015a). PAReS: A proactive and adaptive redundant system for enhancing MapReduce job completion reliability and service quality. Journal of Information Science and Engineering, ‍31(5), 1775–1793. Download. (SCI).
  7. Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2015b). Analyzing job completion reliability and job energy consumption for a heterogeneous MapReduce cluster under different intermediate-data replication policies. Journal of Supercomputing, ‍71(5), 1657–1677. doi: 10.1007/s11227-014-1286-7. (SCI, EI).
  8. Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2015c). Impact of MapReduce policies on job completion reliability and job energy consumption. IEEE Transactions on Parallel and Distributed Systems, ‍26(5), 1364–1378. doi: 10.1109/TPDS.2014.2374600. (SCI, EI).
  9. Chen, C.-M., & Chen, Y.-p. (2014a). Connection choice codes. IEICE Transactions on Communications, ‍E97-B(7), 1350–1357. doi: 10.1587/transcom.E97.B.1350. (SCI, EI).
  10. Chen, C.-H., & Chen, Y.-p. (2014b). Quality analysis of discretization methods for estimation of distribution algorithms. IEICE Transactions on Information and Systems, ‍E97-D(5), 1312–1323. doi: 10.1587/transinf.E97.D.1312. (SCI, EI).
  11. Chen, C.-M., Chen, Y.-p., Shen, T.-C., & Zao, J. ‍K. (2013). A practical optimization framework for the degree distribution in LT codes. IEICE Transactions on Communications, ‍E96-B(11), 2807–2815. doi: 10.1587/transcom.E96.B.2807. (SCI, EI).
  12. Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2013). Analyzing job completion reliability and job energy consumption for a general MapReduce infrastructure. Journal of High Speed Networks, ‍19(3), 203–214. doi: 10.3233/JHS-130473. (EI).
  13. Lin, J.-Y., & Chen, Y.-p. (2013). Population sizing for inductive linkage identification. International Journal of Systems Science, ‍44(1), 1–13. doi: 10.1080/00207721.2011.577246. (SCI, EI).
  14. Chen, Y.-p., Chuang, C.-Y., & Huang, Y.-W. (2012). Inductive linkage identification on building blocks of different sizes and types. International Journal of Systems Science, ‍43(12), 2202–2213. doi: 10.1080/00207721.2011.566639. (SCI, EI).
  15. Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2012). PFRF: An adaptive data replication algorithm based on star-topology data grids. Future Generation Computer Systems, ‍28(7), 1045–1057. doi: 10.1016/j.future.2011.08.015. (SCI, EI).
  16. Chen, C.-H., & Chen, Y.-p. (2011). Convergence time analysis of particle swarm optimization based on particle interaction. Advances in Artificial Intelligence, ‍2011(204750), 1–7. doi: 10.1155/2011/204750.
  17. Lin, J.-Y., & Chen, Y.-p. (2011). Analysis on the collaboration between global search and local search in memetic computation. IEEE Transactions on Evolutionary Computation, ‍15(5), 608–623. doi: 10.1109/TEVC.2011.2150754. (SCI, EI).
  18. Jiang, P., & Chen, Y.-p. (2011). Free lunches on the discrete Lipschitz class. Theoretical Computer Science, ‍412(17), 1614–1628. doi: 10.1016/j.tcs.2010.12.028. (SCI, EI).
  19. Chuang, C.-Y., & Chen, Y.-p. (2010). Sensibility of linkage information and effectiveness of estimated distributions. Evolutionary Computation, ‍18(4), 547–579. doi: 10.1162/EVCO_a_00010. (SCI, EI).
  20. Chen, Y.-p., & Chen, C.-H. (2010). Enabling the extended compact genetic algorithm for real-parameter optimization by using adaptive discretization. Evolutionary Computation, ‍18(2), 199–228. doi: 10.1162/evco.2010.18.2.18202. (SCI).
  21. Chen, Y.-p., & Jiang, P. (2010). Analysis on the facet of particle interaction in particle swarm optimization. Theoretical Computer Science, ‍411(21), 2101–2115. doi: 10.1016/j.tcs.2010.03.003. (SCI, EI).
  22. Chen, Y.-p., & Lin, Y.-y. (2009). Controlling the movement of crowds in computer graphics by using the mechanism of particle swarm optimization. Applied Soft Computing, ‍9(3), 1170–1176. doi: 10.1016/j.asoc.2009.03.004. (SCI, EI).
  23. Chen, Y.-p., Peng, W.-C., & Jian, M.-c. (2007). Particle swarm optimization with recombination and dynamic linkage discovery. IEEE Transactions on Systems, Man, and Cybernetics–Part B: Cybernetics, ‍37(6), 1460–1470. doi: 10.1109/TSMCB.2007.904019. (SCI, EI).
  24. Chen, Y.-p., & Goldberg, D. ‍E. (2005). Convergence time for the linkage learning genetic algorithm. Evolutionary Computation, ‍13(3), 279–302. doi: 10.1162/1063656054794806. (SCI).
  25. Horng, J.-T., Chen, Y.-p., & Kao, C.-Y. (2001). A theoretical aspect of a stochastic sketching method for global optimization. Journal of Information Science and Engineering, ‍17(1), 47–71. Download. (SCI).
  26. Chen, Y.-p., Horng, J.-T., & Kao, C.-Y. (1999). Stochastic sketching: A new method for global optimization. Soft Computing, ‍3(2), 101–110. doi: 10.1007/s005000050058. (SCI).

Conference and Workshop Papers

  1. Chang, C.-y., & Chen, Y.-p. (2021a). In the name of creativity: En route to inspiring machines. In Proceedings of 2021 International Conference on Computational Creativity (ICCC’21) (pp. 400–404). GitHub Repo.
  2. Chang, C.-y., & Chen, Y.-p. (2021b). Contrapuntal composition and autonomous style development of organum motets by using AntsOMG. In Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC 2021) (pp. 2023–2030). doi: 10.1109/CEC45853.2021.9504881. (EI). GitHub Repo.
  3. Lo, F.-Y., Chen, C.-H., & Chen, Y.-p. (2020). Shrinking counterexamples in property-based testing with genetic algorithms. In Proceedings of 2020 IEEE Congress on Evolutionary Computation (CEC 2020) (pp. 1–8). doi: 10.1109/CEC48606.2020.9185807. (EI). GitHub Repo.
  4. Lo, F.-Y., Chen, C.-H., & Chen, Y.-p. (2019). Genetic algorithms as shrinkers in property-based testing. In Proceedings of 2019 ACM SIGEVO Genetic and Evolutionary Computation Conference Companion (GECCO’19 Companion) (pp. 291–292). doi: 10.1145/3319619.3322004. (EI).
  5. Chang, C.-y., & Chen, Y.-p. (2019). Fusing creative operations into evolutionary computation for composition: From a composer’s perspective. In Proceedings of 2019 IEEE Congress on Evolutionary Computation (CEC 2019) (pp. 2113–2120). doi: 10.1109/CEC.2019.8790335. (EI). GitHub Repo.
  6. Huang, S.-Y., & Chen, Y.-p. (2017). Proving theorems by using evolutionary search with human involvement. In Proceedings of 2017 IEEE Congress on Evolutionary Computation (CEC 2017) (pp. 1495–1502). doi: 10.1109/CEC.2017.7969480. (EI). GitHub Repo.
  7. Hsu, W.-L., & Chen, Y.-p. (2016). Learning to select actions in StarCraft with genetic algorithms. In Proceedings of the 2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2016) (pp. 270–277). doi: 10.1109/TAAI.2016.7880180. (EI). GitHub Repo.
  8. Yang, L.-A., Liu, J.-P., Chen, C.-H., & Chen, Y.-p. (2016). Automatically proving mathematical theorems with evolutionary algorithms and proof assistants. In Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016) (pp. 4421–4428). doi: 10.1109/CEC.2016.7744352. (EI). GitHub Repo.
  9. Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2015). ReMBF: A reliable multicast brute-force co-allocation scheme for multi-user data grids. In Proceedings of 2015 IEEE 39th Annual Computer Software and Applications Conference (COMPSAC 2015), Volume ‍2 (pp. 774–784). doi: 10.1109/COMPSAC.2015.34. (EI).
  10. Tseng, H.-w., & Chen, Y.-p. (2015). Artistic image processing with cellular automata and evolutionary algorithms. In Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015) (pp. 2153–2159). doi: 10.1109/CEC.2015.7257150. (EI). GitHub Repo.
  11. Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2014). Developing a performance-analysis model for a star-topology data grid from multi-user perspective. In Proceedings of The 6th IEEE International Conference on Intelligent Networking and Collaborative Systems (INCoS 2014) (pp. 242–248). doi: 10.1109/INCoS.2014.83. (EI).
  12. Tsai, P.-C., Chen, C.-M., & Chen, Y.-p. (2014a). A novel evaluation function for LT codes degree distribution optimization. In Proceedings of 2014 IEEE Congress on Evolutionary Computation (CEC 2014) (pp. 3030–3035). doi: 10.1109/CEC.2014.6900609. (EI).
  13. Tsai, P.-C., Chen, C.-M., & Chen, Y.-p. (2014b). PSO-based evacuation simulation framework. In Proceedings of 2014 IEEE Congress on Evolutionary Computation (CEC 2014) (pp. 1944–1950). doi: 10.1109/CEC.2014.6900600. (EI). GitHub Repo.
  14. Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2014). Cache replacement algorithms for YouTube. In Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications (AINA-2014) (pp. 743–750). doi: 10.1109/AINA.2014.91. (Best paper award, EI).
  15. Lin, J.-C., Leu, F.-Y., Chen, Y.-p., & Munawar, W. (2014). Impact of MapReduce task re-execution policy on job completion reliability and job completion time. In Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications (AINA-2014) (pp. 712–718). doi: 10.1109/AINA.2014.87. (EI).
  16. Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2013). TSR: Topology reduction from tree to star data grids. In Proceedings of the Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2013) (pp. 678–683). doi: 10.1109/IMIS.2013.122. (EI).
  17. Lin, J.-Y., & Chen, Y.-p. (2013). On the effect of population size and selection mechanism from the viewpoint of collaboration between exploration and exploitation. In Proceedings of 2013 IEEE Workshop on Memetic Computing at Symposium Series on Computational Intelligence (IEEE MC at SSCI 2013) (pp. 16–23). doi: 10.1109/MC.2013.6608202. (EI).
  18. Lin, J.-C., Leu, F.-Y., Lee, M.-C., & Chen, Y.-p. (2013). Deriving job completion reliability and job energy consumption for a general MapReduce infrastructure from single-job perspective. In Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications (AINA-2013) (pp. 1642–1647). doi: 10.1109/WAINA.2013.10. (EI).
  19. Tsai, P.-C., Chen, C.-M., & Chen, Y.-p. (2012). Sparse degrees analysis for LT codes optimization. In Proceedings of 2012 IEEE Congress on Evolutionary Computation (CEC 2012) (pp. 2463–2468). doi: 10.1109/CEC.2012.6252861. (EI).
  20. Lin, J.-Y., & Chen, Y.-p. (2012). When and what kind of memetic algorithms perform well. In Proceedings of 2012 IEEE Congress on Evolutionary Computation (CEC 2012) (pp. 2716–2723). doi: 10.1109/CEC.2012.6252894. (EI).
  21. Huang, Y.-w., & Chen, Y.-p. (2010). Detecting general problem structures with inductive linkage identification. In Proceedings of the 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2010) (pp. 508–515). doi: 10.1109/TAAI.2010.86. (EI).
  22. Lin, J.-H., & Chen, Y.-p. (2010). XCS with bit masks. In Proceedings of the 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2010) (pp. 516–523). doi: 10.1109/TAAI.2010.87. (EI).
  23. Chen, Y.-p. (2010). Estimation of distribution algorithms: Basic ideas and future directions. In Proceedings of World Automation Congress 2010 (WAC 2010) (pp. IFMIP–152). Download.
  24. Chen, C.-M., Chen, Y.-p., Shen, T.-C., & Zao, J. (2010a). On the optimization of degree distributions in LT codes with covariance matrix adaptation evolution strategy. In Proceedings of 2010 IEEE Congress on Evolutionary Computation (CEC 2010) (pp. 3531–3538). doi: 10.1109/CEC.2010.5586202. (EI).
  25. Chen, C.-M., Chen, Y.-p., Shen, T.-C., & Zao, J. (2010b). Optimizing degree distributions in LT codes by using the multiobjective evolutionary algorithm based on decomposition. In Proceedings of 2010 IEEE Congress on Evolutionary Computation (CEC 2010) (pp. 3635–3642). doi: 10.1109/CEC.2010.5586340. (EI).
  26. Huang, Y.-W., & Chen, Y.-p. (2009). On the detection of general problem structures by using inductive linkage identification. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2009 (GECCO-2009) (pp. 1853–1854). doi: 10.1145/1569901.1570200. (EI).
  27. Chen, C.-M., Chen, Y.-p., & Zhang, Q. (2009). Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. In Proceedings of 2009 IEEE Congress on Evolutionary Computation (CEC 2009) (pp. 209–216). doi: 10.1109/CEC.2009.4982950. (EI).
  28. Chuang, C.-Y., & Chen, Y.-p. (2008a). Recognizing problem decomposition with inductive linkage identification: Population requirement vs. subproblem complexity. In Proceedings of the Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008) (pp. 670–675). Download. (Invited).
  29. Chuang, C.-Y., & Chen, Y.-p. (2008b). On the effectiveness of distributions estimated by probabilistic model building. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2008 (GECCO-2008) (pp. 391–398). doi: 10.1145/1389095.1389169. (EI).
  30. Liou, J.-J., & Chen, Y.-p. (2008). Adaptive discretization on multidimensional continuous search spaces. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2008 (GECCO-2008) (pp. 977–984). doi: 10.1145/1389095.1389280. (EI).
  31. Chuang, C.-Y., & Chen, Y.-p. (2007). Linkage identification by perturbation and decision tree induction. In Proceedings of 2007 IEEE Congress on Evolutionary Computation (CEC 2007) (pp. 357–363). doi: 10.1109/CEC.2007.4424493. (CPCI-S, EI).
  32. Lin, Y.-y., & Chen, Y.-p. (2007). Crowd control with swarm intelligence. In Proceedings of 2007 IEEE Congress on Evolutionary Computation (CEC 2007) (pp. 3321–3328). doi: 10.1109/CEC.2007.4424900. (CPCI-S, EI).
  33. Hsieh, C.-T., Chen, C.-M., & Chen, Y.-p. (2007). Particle swarm guided evolution strategy. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2007 (GECCO-2007) (pp. 650–657). doi: 10.1145/1276958.1277096. (EI).
  34. Chen, H.-W., & Chen, Y.-p. (2007a). Introducing fault tolerance to XCS. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2007 (GECCO-2007) (pp. 1871). doi: 10.1145/1276958.1277330. (EI).
  35. Chen, C.-H., & Chen, Y.-p. (2007b). Real-coded ECGA for economic dispatch. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2007 (GECCO-2007) (pp. 1920–1927). doi: 10.1145/1276958.1277343. (EI).
  36. Hung, P.-C., Chen, Y.-p., & Zan, H. ‍W. (2007). Characteristic determination for solid state devices with evolutionary computation: A case study. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2007 (GECCO-2007) (pp. 2029–2036). doi: 10.1145/1276958.1277357. (EI).
  37. Jian, M.-C., & Chen, Y.-p. (2006). Introducing recombination with dynamic linkage discovery to particle swarm optimization. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2006 (GECCO-2006) (pp. 85–86). doi: 10.1145/1143997.1144010. (CPCI-S, EI).
  38. Chen, C.-H., Liu, W.-N., & Chen, Y.-p. (2006). Adaptive discretization for probabilistic model building genetic algorithms. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2006 (GECCO-2006) (pp. 1103–1110). doi: 10.1145/1143997.1144174. (CPCI-S, EI).
  39. Hung, P.-C., & Chen, Y.-p. (2006). iECGA: Integer extended compact genetic algorithm. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2006 (GECCO-2006) (pp. 1415–1416). doi: 10.1145/1143997.1144222. (CPCI-S, EI).
  40. Chen, H.-W., & Chen, Y.-p. (2006). FTXI: Fault tolerance XCS in integer. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2006 (GECCO-2006) (pp. 1589–1590). doi: 10.1145/1143997.1144255. (CPCI-S, EI).
  41. Fu, D.-Y., Wu, T.-Y., Chen, C.-T., Wu, K.-C., & Chen, Y.-p. (2006). Evolutionary interactive music composition. In Proceedings of ACM SIGEVO Genetic and Evolutionary Computation Conference 2006 (GECCO-2006) (pp. 1863–1864). doi: 10.1145/1143997.1144301. (CPCI-S, EI).
  42. Chen, Y.-p., & Goldberg, D. ‍E. (2004). Introducing subchromosome representations to the linkage learning genetic algorithms. In Proceedings of Genetic and Evolutionary Computation Conference 2004 (GECCO-2004) (pp. 971–982). (CPCI-S).
  43. Ohnishi, K., Sastry, K., Chen, Y.-p., & Goldberg, D. ‍E. (2004). Inducing sequentiality using grammatical genetic codes. In Proceedings of Genetic and Evolutionary Computation Conference 2004 (GECCO-2004) (pp. 1426–1437). (CPCI-S).
  44. Llorà, X., Ohnishi, K., Chen, Y.-p., Goldberg, D. ‍E., & Welge, M. ‍E. (2004). Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making. In Proceedings of Genetic and Evolutionary Computation Conference 2004 (GECCO-2004) (pp. 1314–1315). (CPCI-S).
  45. Chen, Y.-p., & Goldberg, D. ‍E. (2004). Convergence time for the linkage learning genetic algorithm. In Proceedings of 2004 IEEE Congress on Evolutionary Computation (CEC 2004) (pp. 39–46). (CPCI-S, EI).
  46. Yu, T.-L., Chen, Y.-p., Goldberg, D. ‍E., & Chen, J.-H. (2003). An adaptive sampling scheme for genetic algorithms on the sampled OneMax problem. In Proceedings of Artificial Neural Networks in Engineering 2003 (ANNIE 2003) (pp. 39–44). (EI).
  47. Yu, T.-L., Goldberg, D. ‍E., Yassine, A. ‍A., & Chen, Y.-p. (2003). Genetic algorithm design inspired by organizational theory: Pilot study of a dependency structure matrix driven genetic algorithm. In Proceedings of Artificial Neural Networks in Engineering 2003 (ANNIE 2003) (pp. 327–332). (EI).
  48. Chen, Y.-p., & Goldberg, D. ‍E. (2003a). An analysis of a reordering operator with tournament selection on a GA-hard problem. In Proceedings of Genetic and Evolutionary Computation Conference 2003 (GECCO-2003) (pp. 825–836). (CPCI-S).
  49. Chen, Y.-p., & Goldberg, D. ‍E. (2003b). Tightness time for the linkage learning genetic algorithm. In Proceedings of Genetic and Evolutionary Computation Conference 2003 (GECCO-2003) (pp. 837–849). (CPCI-S).
  50. Yu, T.-L., Goldberg, D. ‍E., Yassine, A. ‍A., & Chen, Y.-p. (2003). A genetic algorithm design inspired by organizational theory: A pilot study of a dependency structure matrix driven genetic algorithm. In Proceedings of Genetic and Evolutionary Computation Conference 2003 (GECCO-2003) (pp. 1620–1621). (CPCI-S).
  51. Chen, Y.-p., & Goldberg, D. ‍E. (2002). Introducing start expression genes to the linkage learning genetic algorithm. In Proceedings of the Seventh International Conference on Parallel Problem Solving from Nature (PPSN VII) (pp. 351–360).
  52. Singh, A., Goldberg, D. ‍E., & Chen, Y.-p. (2002). Modified linkage learning genetic algorithm for difficult non-stationary problems. In Proceedings of Genetic and Evolutionary Computation Conference 2002 (GECCO-2002) (pp. 699).
  53. Chen, Y.-p. (2002). Using start expression genes for building-block separation in the linkage learning genetic algorithm. In Proceedings of Genetic and Evolutionary Computation Conference 2002 (GECCO-2002) (pp. 268–271). (Graduate student workshop).
  54. Singh, A., Goldberg, D. ‍E., & Chen, Y.-p. (2002). Modified linkage learning genetic algorithm for difficult non-stationary problems. In Proceedings of Genetic and Evolutionary Computation Conference 2002 (GECCO-2002) (pp. 419–426). (Late-breaking Papers).
  55. Yang, J.-M., Chen, Y.-p., Horng, J.-T., & Kao, C.-Y. (1997). Applying family competition to evolution strategies for constrained optimization. In Proceedings of the Sixth International Conference on Evolutionary Programming (EP 97) (pp. 201–211). (EI).
  56. Jih, W.-r., Chen, Y.-p., & Hsu, J. (1996). A comparative study of genetic algorithms for vehicle routing with time constraints. In Proceedings of International Conference on Artificial Intelligence (pp. 17–24).

Books

  1. Chen, Y.-p. (2005). Extending the scalability of linkage learning genetic algorithms: Theory and practice, Volume 190 of Studies in Fuzziness and Soft Computing. Springer. ISBN: 3-540-28459-1. Erratum Springer Link Amazon Link

Book Chapters

  1. Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2015). ReHRS: A hybrid redundant system for improving MapReduce reliability and availability. In Xhafa, F., Barolli, L., Barolli, A., & Papajorgji, P. (Eds.), Modeling and Processing for Next-Generation Big-Data Technologies, Volume ‍4 of Modeling and Optimization in Science and Technologies (pp. 187–209). Springer. doi: 10.1007/978-3-319-09177-8_8. ISBN: 978-3-319-09176-1. Springer Link
  2. Sinha, A., Chen, Y.-p., & Goldberg, D. ‍E. (2005). Designing efficient genetic and evolutionary algorithm hybrids. In Hart, W. ‍E., Krasnogor, N., & Smith, J. (Eds.), Recent Advances in Memetic Algorithms, Volume 166 of Studies in Fuzziness and Soft Computing (pp. 259–288). Springer. ISBN: 3-540-22904-3. Springer Link

Edited Books

  1. Chen, Y.-p. (Ed.) (2010). Exploitation of linkage learning in evolutionary algorithms, Volume ‍3 of Adaptation, Learning, and Optimization. Springer. ISBN: 978-3-642-12833-2. Springer Link Amazon Link
  2. Chen, Y.-p., & Lim, M.-H. (Eds.) (2008). Linkage in evolutionary computation, Volume 157 of Studies in Computational Intelligence. Springer. ISBN: 978-3-540-85067-0. Springer Link Amazon Link

Patents

  1. Chen, Y.-p., Wu, K.-C., Wu, T.-Y., Fu, D.-y., & Chen, C.-T. (2007). Method and system for automatic music composition. Taiwan Invention Patent No. I285880, Issued at August 21, 2007.

Technical Reports

  1. Yang, L.-A., Liu, J.-P., Chen, C.-H., & Chen, Y.-p. (2016). Automatically proving mathematical theorems with evolutionary algorithms and proof assistants.  ‍(arXiv:1602.07455). Download
  2. Tsai, P.-C., Chen, C.-M., & Chen, Y.-p. (2015). Multiple configurations LT codes.  ‍(arXiv:1510.01823). Download
  3. Tang, K., Yao, X., Suganthan, P. ‍N., MacNish, C., Chen, Y.-p., Chen, C.-M., & Yang, Z. (2007). Benchmark functions for the CEC’2008 special session and competition on large scale global optimization (Technical Report). Nature Inspired Computation and Applications Laboratory, University of Science and Technology of China. Download
  4. Chen, Y.-p., Yu, T.-L., Sastry, K., & Goldberg, D. ‍E. (2007). A survey of genetic linkage learning techniques (Technical Report 2007014). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  5. Suganthan, P. ‍N., Hansen, N., Liang, J. ‍J., Deb, K., Chen, Y.-p., Auger, A., & Tiwari, S. (2005). Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization (Technical Report 2005001). HsinChu City, Taiwan: Natural Computing Laboratory, Department of Computer Science, National Chiao Tung University. Download
  6. Chen, Y.-p. (2004). Extending the scalability of linkage learning genetic algorithms: Theory and practice (Technical Report 2004018). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  7. Llorà, X., Ohnishi, K., Chen, Y.-p., Goldberg, D. ‍E., & Welge, M. ‍E. (2004). Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making (Technical Report 2004012). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  8. Ohnishi, K., Sastry, K., Chen, Y.-p., & Goldberg, D. ‍E. (2004). Inducing sequentiality using grammatical genetic codes (Technical Report 2004007). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  9. Chen, Y.-p., & Goldberg, D. ‍E. (2004). Introducing subchromosome representations to the linkage learning genetic algorithms (Technical Report 2004001). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  10. Yu, T.-L., Chen, Y.-p., Goldberg, D. ‍E., & Chen, J.-H. (2003). An adaptive sampling scheme for genetic algorithms on the sampled OneMax problem (Technical Report 2003026). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  11. Chen, Y.-p., & Goldberg, D. ‍E. (2003). Convergence time for the linkage learning genetic algorithm (Technical Report 2003025). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  12. Yu, T.-L., Goldberg, D. ‍E., Yassine, A. ‍A., & Chen, Y.-p. (2003). A genetic algorithm design inspired by organizational theory: A pilot study of a dependency structure matrix driven genetic algorithm (Technical Report 2003007). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  13. Chen, Y.-p., & Goldberg, D. ‍E. (2003a). An analysis of a reordering operator with tournament selection on a GA-hard problem (Technical Report 2003003). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  14. Chen, Y.-p., & Goldberg, D. ‍E. (2003b). Tightness time for the linkage learning genetic algorithm (Technical Report 2003002). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download
  15. Chen, Y.-p., & Goldberg, D. ‍E. (2002). Introducing start expression genes to the linkage learning genetic algorithm (Technical Report 2002007). Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana-Champaign. Download

Dissertation and Thesis

  1. Chen, Y.-p. (2004). Extending the scalability of linkage learning genetic algorithms: Theory and practice. Doctoral dissertation, University of Illinois, Urbana, IL, USA.
  2. Chen, Y.-p. (1997). Stochastic sketching: A new method for global optimization. Master’s thesis, National Taiwan University, Taipei, Taiwan.

OTHER PUBLICATIONS

Books

  1. Yih, W.-t., Chen, Y.-p., & Lin, S.-c. (2000). Java 2 Programming. Taipei, Taiwan: Flag Publishing Co., Ltd. ISBN: 957-717-692-5 (in Traditional Chinese).
  2. Yih, W.-t., & Chen, Y.-p. (1997). Java Handbook. Beijing, People’s Republic of China: Science Publishing. ISBN: 7-03-005589-6 (in Simplified Chinese).
  3. Yih, W.-t., & Chen, Y.-p. (1996). Java – The Latest Weapon for Designing Dynamic Homepages. Taipei, Taiwan: Flag Publishing Co., Ltd. ISBN: 957-717-192-3 (in Traditional Chinese).
  4. Chen, Y.-p., & Yih, W.-t. (1994). Visual Basic 3.0 Programming. Taipei, Taiwan: Eten Information System Co., Ltd. ISBN: 957-504-105-4 (in Traditional Chinese).
  5. Chen, Y.-p. (1992). C Enhance Library. Taipei, Taiwan: Eten Information System Co., Ltd. ISBN: 957-504-058-9 (in Traditional Chinese).
  6. Chen, Y.-p. (1990). CAI: Learning irregular verbs. Taipei, Taiwan: Eten Information System Co., Ltd. ISBN: 957-504-020-1 (in Traditional Chinese).

Translations

  1. Chen, Y.-p. (1999). Quick Course® in Microsoft® Excel 2000. Taipei, Taiwan: SoftChina Publishing Co., Ltd. ISBN: 957-8239-31-9 (in Traditional Chinese); Translated from Quick Course® in Microsoft® Excel 2000, Online Press, Inc, ISBN: 0-7356-1081-9 (in English).

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