MICHIGAN STATE UNIVERSITY GPBG GROUP

 

 

PUBLICATIONS

 

 

GPBG METHODOLOGY AND APPLICATIONS
 

SCALABILITY OF GPBG METHODOLOGY

 

 

 

GPBG METHODOLOGY AND APPLICATIONS

  1.  K. Seo, J. Hu, Z. Fan, E. D. Goodman, and R. C.  Rosenberg, "Automated Design Approaches for Multi-Domain Dynamic Systems Using Bond Graphs and Genetic Programming," The International Journal of Computers, Systems and Signals, vol.3, no.1, pp.55-70, 2002. 

  2.  K. Seo, Z. Fan, J. Hu, E. D. Goodman, and R. C.  Rosenberg, "Toward an Automated Design Method  for Multi-Domain Dynamic Systems Using Bond Graphs and Genetic Programming," Mechatronics , Volume 13, Issues 8-9,  2003, pp. 851-885

  3. Z. Fan, K. Seo, J. Hu, E. Goodman, R. Rosenberg, "A Novel Evolutionary Engineering Design Approach for Mixed-Domain Systems," J. Engineering Optimization, (forthcoming, 2003).

  4.  J. Hu, E. Goodman. Evolving robust dynamic systems with genetic programming. In Genetic Programming Theory and Practice. Rick Riolo and Bill Worzel (eds.). Kluwer Publishers, Boston, MA. 2004. (forthcoming)

  5.   J. Hu, E. Goodman, and R. Rosenberg. Topological search in automated mechatronic system synthesis using bond graphs and genetic programming. Proc. of American Control Conference ACC 2004. (in press)

  6. Z. Fan, K. Seo, J. Hu, R. Rosenberg, and E. Goodman, " System-Level Synthesis of  MEMS via Genetic Programming and Bond Graphs", Proc. 2003 Genetic and Evolutionary Computing Conference, Chicago, Springer, Lecture Notes in Computer Science, July, 2003, pp. 2058-2071.

  7. K. Seo, Z. Fan, J. Hu, E. Goodman, and R. Rosenberg, "Dense and Switched Modular Primitives for Bond Graph Model Design," Proc. 2003 Genetic and Evolutionary Computing Conference, Chicago, Springer, Lecture Notes in Computer Science, July, 2003, pp. 1764-1775.

  8. Z. Fan, K. Seo, R. C. Rosenberg, J. Hu, E. D. Goodman, "Computational Synthesis of Multi_Domain Systems", Proceedings of the 2003 AAAI Spring Symposium - Computational Synthesis: From Basic Building Blocks to High Level Functionality, Stanford, California, March, 24-26, 2003, pp. 59-66.

  9. E. D. Goodman, K. Seo, Z. Fan, J. Hu, R. C.  Rosenberg,  "Automated Design of Mechatronic Systems: Novel Search Methods and Modular Primitives to Enable Real_World Applications," 2003 NSF Design, Service and Manufacturing Grantees and Research Conference, January 6-9, 2003, Birmingham, Alabama

  10. Z. Fan, K. Seo, R. C. Rosenberg, J. Hu, E. D. Goodman, "Exploring Multiple Design Topologies using Genetic Programming and Bond Graphs", Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2002, New York, July, 2002, pp. 1073-1080.

  11.  E. D. Goodman, K. Seo, R. C.  Rosenberg, Z. Fan, J. Hu, and B. Zhang, "Automated Design Methodology for Mechatronic Systems Using Bond Graphs and Genetic Programming," 2002 NSF Design, Service and Manufacturing Grantees and Research Conference, January 7-10, 2002, San Juan, Puerto Rico

  12. R.C. Rosenberg, E. D. Goodman and K. Seo, "Some Key Issues in using Bond Graphs and Genetic Programming for Mechatronic System Design", Proc. ASME International Mechanical Engineering Congress and Exposition, 2001, November 11-16, New York

  13. Z. Fan, J. Hu, K. Seo, E. D. Goodman, R. C. Rosenberg, and B. Zhang, "Bond Graph Representation and GP for Automated Analog Filter Design," 2001 Genetic and Evolutionary Computation Conference Late-Breaking Papers, E. Goodman, ed., ISGEC Press, San Francisco, 2001, pp. 81-86.

  14. K. Seo, E. D. Goodman, and R. C. Rosenberg, "First Steps toward Automated Design of Mechatronic Systems Using Bond Graphs and Genetic Programming", Proc. Genetic and Evolutionary Computation Conference, 2001, July 7-11, Morgan Kaufmann Publishers, San Francisco, p. 189

 

SCALABILITY OF GPBG METHODOLOGY

  1. J. Hu, E. Goodman, K.Seo, Z. Fan, R. Rosenberg, " The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms". Evolutionary Computation, 13(1), 2005 (in press)

  2. J. Hu, K. Seo, E. Goodman, R. Rosenberg. Toward efficient topological synthesis of dynamic systems using bond graphs and genetic programming. Nadia Nedjah. (eds). Evolutionary Machine Design: Methodology and Applications. Nova Science Publishers, NY, USA, 2004. (in press).

  3. J. Hu, E. Goodman. Robust and Efficient Genetic Algorithms with Hierarchical Niching and Sustainable Evolutionary Computation Model. Proc. 2004 Genetic and Evolutionary Computing Conference (in press)

  4. J. Hu, K. Seo, Z. Fan, R. Rosenberg, and E. Goodman, " HEMO: A Sustainable Multi-Objective Evolutionary Optimization Framework", Proc. 2003 Genetic and Evolutionary Computing Conference, Chicago, Springer, Lecture Notes in Computer Science, July, 2003, pp. 1029-1040.

  5.  J. Hu, E. Goodman and K. Seo. Continuous Hierarchical Fair Competition Model for Sustainable Innovation in Genetic programming. In Genetic Programming Theory and Practice. Rick Riolo and Bill Worzel (eds.). Kluwer Publishers, Boston, MA. 2003.

  6. J. Hu, E. D. Goodman, K. Seo, Z. Fan, R. C. Rosenberg, "HFC: A Continuing EA Framework for Scalable Evoultionary Synthesis", Proceedings of the 2003 AAAI Spring Symposium - Computational Synthesis: From Basic Building Blocks to High Level Functionality, Stanford, California, March, 24-26, 2003, pp. 106-113.

  7. J. Hu, E. D. Goodman, K. Seo, M. Pei, "Adaptive Hierarchical Fair Competition (AHFC) Model for Parallel Evolutionary Algorithms," Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2002, New York, July, 2002, pp. 772-779.

  8. J. Hu, K. Seo, S. Li, Z. Fan, R. C. Rosenberg, E. D. Goodman, "Structure Fitness Sharing (SFS) for Evolutionary Design by Genetic Programming," Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2002, New York, July, 2002, pp. 780-787. 

  9.  J. Hu, E. D. Goodman, "Hierarchical Fair Competition Model for Parallel Evolutionary Algorithms," Proceedings, Congress on Evolutionary Computation, CEC 2002, IEEE World Congress on Computational Intelligence, Honolulu, Hawaii, May, 2002.

 

Webmaster: Jianjun Hu (hujianju AT cse.msu.edu)