RESEARCH INTERESTS

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

RESEARCH EXPERIENCE

Aug. 2004 – Present

Assistant Professor
Department of Computer Science
National Chiao Tung University, HsinChu City, Taiwan
Focusing on the conducting research in the fields of genetic and evolutionary computation, discrete and continuous optimization techniques, as well as their potential applications.

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

HONORS AND AWARDS

Jun. 2004

Genetic and Evolutionary Computation Conference 2004 (GECCO-2004) Student Travel Grant Award

Jun. 2004

IEEE Neural Network Society (IEEE NNS) 2004 Student Travel Grant

Jul. 2003

Genetic and Evolutionary Computation Conference 2003 (GECCO-2003) Student Travel Grant Award

Jul. 2002

Best paper award of the Graduate Student Workshop of Genetic and Evolutionary Computation Conference 2002 (GECCO-2002)

Jul. 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

Apr. 2004 – Present

Member of the Institute of Electrical and Electronics Engineers, Inc. (IEEE)

• IEEE Computational Intelligence Society (CIS)
• IEEE CIS Emergent Technologies Technical Committee (ETTC)

Nov. 1999 – Present

Member of the Association for Computing Machinery (ACM)

• ACM Special Interest Group for Genetic and Evolutionary Computation (SIGEVO)

Jul. 2000 – Dec. 2004

Member of the International Society for Genetic and Evolutionary Computation (ISGEC)

• Became ACM SIGEVO on Jan. 1, 2005

Conferences

2009

Organizer: GECCO-2009 (Late Breaking Papers Chair), LEC 2009 at CEC 2009

Program committee: GECCO-2009, CEC 2009, EvoNUM 2009, WOMA 2009

2008

Program committee: GECCO-2008, SEAL 2008, EvoNUM 2008, WSSEC08, ISICA 2008

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

• Member of the Editorial Board: International Journal of Applied Evolutionary Computation, Memetic Computing
  
  
• Guest Editor: International Journal of Information Systems for Logistics and Management: Special Issue on Computational Intelligence and Soft Computing (2005)

ACADEMIC PUBLICATIONS

Journal Papers

1. Chen, Y.-p., & Chen, C.-H. (2009). Enabling the extended compact genetic algorithm for real-parameter optimization by using adaptive discretization. Evolutionary Computation, N/A(N/A), N/A–N/A. (SCI, accepted).
   
   
2. 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. (SCI).
   
   
3. Chen, Y.-p., & Goldberg, D. E. (2005). Convergence time for the linkage learning genetic algorithm. Evolutionary Computation, 13(3), 279–302. (SCI).
   
   
4. Chen, Y.-p., & Goldberg, D. E. (2004). Introducing subchromosome representations to the linkage learning genetic algorithms. Lecture Notes in Computer Science (LNCS), 3102, 971–982.
   
   
5. Ohnishi, K., Sastry, K., Chen, Y.-p., & Goldberg, D. E. (2004). Inducing sequentiality using grammatical genetic codes. Lecture Notes in Computer Science (LNCS), 3102, 1426–1437.
   
   
6. 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. Lecture Notes in Computer Science (LNCS), 3103, 1314–1315.
   
   
7. Chen, Y.-p., & Goldberg, D. E. (2003a). An analysis of a reordering operator with tournament selection on a GA-hard problem. Lecture Notes in Computer Science (LNCS), 2723, 825–836.
   
   
8. Chen, Y.-p., & Goldberg, D. E. (2003b). Tightness time for the linkage learning genetic algorithm. Lecture Notes in Computer Science (LNCS), 2723, 837–849.
   
   
9. 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. Lecture Notes in Computer Science (LNCS), 2724, 1620–1621.
   
   
10. Chen, Y.-p., & Goldberg, D. E. (2002). Introducing start expression genes to the linkage learning genetic algorithm. Lecture Notes in Computer Science (LNCS), 2439, 351–360.
    
    
11. 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 (JISE), 17(1), 47–71. (SCI).
    
    
12. Chen, Y.-p., Horng, J.-T., & Kao, C.-Y. (1999). Stochastic sketching: A new method for global optimization. Soft Computing, 3(2), 101–110. (SCI).
    
    
13. Yang, J.-M., Chen, Y.-p., Horng, J.-T., & Kao, C.-Y. (1997). Applying family competition to evolution strategies for constrained optimization. Lecture Notes in Computer Science (LNCS), 1213, 201–211. (EI).

Conference and Workshop Papers

1. 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). (Invited).
   
   
2. 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). (EI).
   
   
3. 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). (EI).
   
   
4. 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). (EI).
   
   
5. 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). (EI).
   
   
6. 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). (EI).
   
   
7. 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). (EI).
   
   
8. 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). (EI).
   
   
9. 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). (EI).
   
   
10. 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). (EI).
    
    
11. 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). (EI).
    
    
12. 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). (EI).
    
    
13. 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). (EI).
    
    
14. 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). (EI).
    
    
15. 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). (EI).
    
    
16. 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).
    
    
17. 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).
    
    
18. 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).
    
    
19. Singh, A., Goldberg, D. E., & Chen, Y.-p. (2002a). Modified linkage learning genetic algorithm for difficult non-stationary problems. In Proceedings of Genetic and Evolutionary Computation Conference 2002 (GECCO-2002) (pp. 699). (Poster session).
    
    
20. Singh, A., Goldberg, D. E., & Chen, Y.-p. (2002b). 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).
    
    
21. 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). Kaohsiung, Taiwan: National Sun Yat-Sen University.

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. Sinha, A., Chen, Y.-p., & Goldberg, D. E. (2004). 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., & 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.
   
   
2. Chen, Y.-p. (Ed.) (2010). Exploitation of linkage learning in evolutionary algorithms. Evolutionary Learning and Optimization. Springer. (In preparation).

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. 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.
   
   
2. 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.
   
   
3. 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.
   
   
4. 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.
   
   
5. 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.
   
   
6. 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.
   
   
7. 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.
   
   
8. 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.
   
   
9. 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.
   
   
10. 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.
    
    
11. 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.
    
    
12. 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.
    
    
13. 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. Chen, Y.-p., Yih, W.-t., & Lin, S.-c. (2000). Java 2 Programming. Taipei, Taiwan: Flag Publishing Co., Ltd. ISBN: 957-717-692-5 (in Traditional Chinese).
   
   
2. Chen, Y.-p., & Yih, W.-t. (1997). Java Handbook. Beijing, People Republic of China: Science Publishing. ISBN: 7-03-005589-6/TP 657 (in Simplified Chinese).
   
   
3. Chen, Y.-p., & Yih, W.-t. (1996). Java – The Latest Weapon for Designing Dynamic Homepages. Taipei, Taiwan: Flag Publishing Co., Ltd. ISBN: 957-717-192-3 (in Traditional Chinese).
   
   
4. Yih, W.-t., & Chen, Y.-p. (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).

This document was translated from L^AT_EX by H^EV^EA.