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Erik D. Goodman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hiram A. Firpi, Erik D. Goodman
    Swarmed Feature Selection. [Citation Graph (0, 0)][DBLP]
    AIPR, 2004, pp:112-118 [Conf]
  2. Hiram A. Firpi, Erik D. Goodman
    Designing Templates for Cellular Neural Networks Using Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    AIPR, 2004, pp:119-123 [Conf]
  3. Shyh-Chang Lin, Erik D. Goodman, William F. Punch III
    Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:383-393 [Conf]
  4. Arnold L. Patton, Terrence Dexter, Erik D. Goodman, William F. Punch III
    On the Application of Cohort-Driven Operators to Continuous Optimization Problems Using Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:671-681 [Conf]
  5. Hiram A. Firpi, Erik D. Goodman, Javier Echauz
    On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2005, pp:321-330 [Conf]
  6. Jianjun Hu, Erik D. Goodman
    Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:1220-1232 [Conf]
  7. Bulent Buyukbozkirli, Erik D. Goodman
    A Statistical Model of GA Dynamics for the OneMax Problem. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:935-946 [Conf]
  8. Jianjun Hu, Erik D. Goodman, Kisung Seo, Min Pei
    Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:772-779 [Conf]
  9. Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenberg, Erik D. Goodman
    System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:2058-2071 [Conf]
  10. Zhun Fan, Kisung Seo, Ronald C. Rosenberg, Jianjun Hu, Erik D. Goodman
    Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1073-1080 [Conf]
  11. Hiram A. Firpi, Erik D. Goodman, Javier Echauz
    Epileptic seizure detection by means of genetically programmed artificial features. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:461-466 [Conf]
  12. Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenberg, Erik D. Goodman
    HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1029-1040 [Conf]
  13. Jianjun Hu, Kisung Seo, Shaobo Li, Zhun Fan, Ronald C. Rosenberg, Erik D. Goodman
    Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:780-787 [Conf]
  14. Jianjun Hu, Xiwei Zhong, Erik D. Goodman
    Open-ended robust design of analog filters using genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1619-1626 [Conf]
  15. Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huang, Gaoping Li
    Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:2121-2133 [Conf]
  16. Kisung Seo, Zhun Fan, Jianjun Hu, Erik D. Goodman, Ronald C. Rosenberg
    Dense and Switched Modular Primitives for Bond Graph Model Design. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1764-1775 [Conf]
  17. Kisung Seo, Erik D. Goodman, Ronald C. Rosenberg
    Design of air pump system using bond graph and genetic programming method. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:2215-2216 [Conf]
  18. Kisung Seo, Jianjun Hu, Zhun Fan, Erik D. Goodman, Ronald C. Rosenberg
    Hierarchical Breeding Control for Efficient Topology/Parameter Evolution. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:722-723 [Conf]
  19. Charles Steinfield, Marleen Huysman, Kenneth David, Chyng-Yang Jang, Jan Poot, Mirjam Huis in 't Veld, Ingrid Mulder, Erik D. Goodman, John Lloyd, Timothy Hinds, J. H. Erik Andriessen, Kirsten Jarvis, Klaas van der Werff, Angel Cabrera
    New Methods for Studying Global Virtual Teams: Towards a Multi-Faceted Approach. [Citation Graph (0, 0)][DBLP]
    HICSS, 2001, pp:- [Conf]
  20. Shyh-Chang Lin, Erik D. Goodman, William F. Punch III
    A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:481-488 [Conf]
  21. Arnold L. Patton, William F. Punch III, Erik D. Goodman
    A Standard GA Approach to Native Protein Conformation Prediction. [Citation Graph (0, 0)][DBLP]
    ICGA, 1995, pp:574-581 [Conf]
  22. William F. Punch III, Erik D. Goodman, Min Pei, Lai Chia-Shun, Paul D. Hovland, Richard J. Enbody
    Further Research on Feature Selection and Classification Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:557-564 [Conf]
  23. Michael L. Raymer, William F. Punch III, Erik D. Goodman, Paul C. Sanschagrin, Leslie A. Kuhn
    Simultanous Feature Extraction and Selection Using a Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:561-567 [Conf]
  24. Adrian V. Sannier II, Erik D. Goodman
    Genetic Learning Procedures in Distributed Environments. [Citation Graph (0, 0)][DBLP]
    ICGA, 1987, pp:162-169 [Conf]
  25. Adrian V. Sannier II, Erik D. Goodman
    Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems. [Citation Graph (0, 0)][DBLP]
    ML, 1988, pp:174-180 [Conf]
  26. Gang Wang, Erik D. Goodman, William F. Punch III
    Toward the Optimization of a Class of Black Box Optimization Algorithms. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1997, pp:348-356 [Conf]
  27. Stepan P. Radzevich, Erik D. Goodman
    Efficiency of Multi-Axis NC Machining of Sculpted Part Surfaces. [Citation Graph (0, 0)][DBLP]
    SSM, 1998, pp:42-58 [Conf]
  28. David Eby, Ronald C. Averill, William F. Punch III, Erik D. Goodman
    Optimal design of flywheels using an injection island genetic algorithm. [Citation Graph (0, 0)][DBLP]
    AI EDAM, 1999, v:13, n:5, pp:327-340 [Journal]
  29. J. H. Oliver, Erik D. Goodman
    Direct dimensional NC verification. [Citation Graph (0, 0)][DBLP]
    Computer-Aided Design, 1990, v:22, n:1, pp:3-9 [Journal]
  30. A. A. Ligun, A. A. Shumeiko, S. P. Radzevitch, Erik D. Goodman
    Asymptotically optimal disposition of tangent points for approximation of smooth convex surfaces by polygonal functions. [Citation Graph (0, 0)][DBLP]
    Computer Aided Geometric Design, 1997, v:14, n:6, pp:533-546 [Journal]
  31. A. A. Ligun, A. A. Shumeiko, Stephen P. Radzevich, Erik D. Goodman
    Asymptotically optimum recovery of smooth contours by Bézier curve. [Citation Graph (0, 0)][DBLP]
    Computer Aided Geometric Design, 1998, v:15, n:5, pp:495-506 [Journal]
  32. Jianjun Hu, Erik D. Goodman, Kisung Seo, Zhun Fan, Rondal Rosenberg
    The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2005, v:13, n:2, pp:241-277 [Journal]
  33. William F. Punch III, Ronald C. Averill, Erik D. Goodman, Shyh-Chang Lin, Ying Ding
    Using Genetic Algorithms to Design Laminated Composite Structures. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1995, v:10, n:1, pp:42-49 [Journal]
  34. Erik D. Goodman
    A Word from the Chair of ISGEC. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2004, v:5, n:1, pp:9- [Journal]
  35. Kisung Seo, Jianjun Hu, Zhun Fan, Erik D. Goodman, Ronald C. Rosenberg
    Automated design approaches for multi-domain dynamic systems using bond graphs and genetic programming. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2002, v:3, n:1, pp:55-70 [Journal]
  36. Michael L. Raymer, William F. Punch III, Erik D. Goodman, Leslie A. Kuhn, Anil K. Jain
    Dimensionality reduction using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2000, v:4, n:2, pp:164-171 [Journal]
  37. Jiachuan Wang, Zhun Fan, J. P. Terpenny, Erik D. Goodman
    Knowledge interaction with genetic programming in mechatronic systems design using bond graphs. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:2, pp:172-182 [Journal]
  38. Sofiane Achiche, Wei Wang, Zhun Fan, Ali Ozkil, Torben Sorensen, Jiachuan Wang, Erik D. Goodman
    Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1880-1887 [Conf]
  39. Zhenhua Li, Erik D. Goodman
    Learning building block structure from crossover failure. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1280-1287 [Conf]
  40. Erik D. Goodman
    Introduction to genetic algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:3205-3224 [Conf]

  41. A practical search index and population size analysis based on the building block hypothesis. [Citation Graph (, )][DBLP]


  42. Introduction to genetic algorithms. [Citation Graph (, )][DBLP]


  43. Non-even spread NSGA-II and its application to conflicting multi-objective compatible control. [Citation Graph (, )][DBLP]


  44. Adaptive representation for flexible job-shop scheduling and rescheduling. [Citation Graph (, )][DBLP]


  45. SRDE: an improved differential evolution based on stochastic ranking. [Citation Graph (, )][DBLP]


  46. Evolved finite state controller for hybrid system. [Citation Graph (, )][DBLP]


  47. An improved MOCC with feedback control structure based on preference. [Citation Graph (, )][DBLP]


  48. Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms. [Citation Graph (, )][DBLP]


  49. SRaDE: an adaptive differential evolution based on stochastic ranking. [Citation Graph (, )][DBLP]


  50. Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II. [Citation Graph (, )][DBLP]


  51. Tree-structure-aware GP operators for automatic gait generation of quadruped robot. [Citation Graph (, )][DBLP]


  52. Introduction to genetic algorithms. [Citation Graph (, )][DBLP]


  53. A hybrid GA-based fuzzy classifying approach to urinary analysis modeling. [Citation Graph (, )][DBLP]


  54. Solving multiobjective flexible job-shop scheduling using an adaptive representation. [Citation Graph (, )][DBLP]


  55. A control optimization algorithm for greenhouse climate control problems. [Citation Graph (, )][DBLP]


  56. Introduction to genetic algorithms. [Citation Graph (, )][DBLP]


  57. A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem. [Citation Graph (, )][DBLP]


  58. Exploring Building Blocks through Crossover. [Citation Graph (, )][DBLP]


  59. Automated synthesis of mechanical vibration absorbers using genetic programming. [Citation Graph (, )][DBLP]


  60. Cooperative body-brain coevolutionary synthesis of mechatronic systems. [Citation Graph (, )][DBLP]


  61. Structured synthesis of MEMS using evolutionary approaches. [Citation Graph (, )][DBLP]


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