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Terence Soule: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Conrad Shyu, James A. Foster, K. X. Liao, S. J. Bent, K. Sale, Larry J. Forney, Terence Soule
    MiCA: Web-Based Computational Tools for the Analysis of Microbial Community Structure and Compisition Based on T-RFLP of 16S rRNA Gene. [Citation Graph (0, 0)][DBLP]
    CSB, 2002, pp:341- [Conf]
  2. Kosuke Imamura, Robert B. Heckendorn, Terence Soule, James A. Foster
    N-Version Genetic Programming via Fault Masking. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2002, pp:172-181 [Conf]
  3. Bart Rylander, Terence Soule, James A. Foster
    Computational Complexity, Genetic Programming, and Implications. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2001, pp:348-360 [Conf]
  4. Terence Soule
    Exons and Code Growth in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2002, pp:142-151 [Conf]
  5. Terence Soule
    Cooperative Evolution on the Intertwined Spirals Problem. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2003, pp:434-442 [Conf]
  6. Gang Wang, Terence Soule
    How to Choose Appropriate Function Sets for Gentic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2004, pp:198-207 [Conf]
  7. Alan Piszcz, Terence Soule
    Genetic Programming: Analysis of Optimal Mutation Rates in a Problem with Varying Difficulty. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:451-456 [Conf]
  8. Sireesha Besetti, Terence Soule
    Function choice, resiliency and growth in genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1771-1772 [Conf]
  9. Kosuke Imamura, Robert B. Heckendorn, Terence Soule, James A. Foster
    Abstention Reduces Errors - decision Abstaining N-version Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:796-803 [Conf]
  10. Alan Piszcz, Terence Soule
    Genetic programming: parametric analysis of structure altering mutation techniques. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:220-227 [Conf]
  11. Alan Piszcz, Terence Soule
    Dynamics of evolutionary robustness. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:871-878 [Conf]
  12. Alan Piszcz, Terence Soule
    A survey of mutation techniques in genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:951-952 [Conf]
  13. Alan Piszcz, Terence Soule
    Genetic programming: optimal population sizes for varying complexity problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:953-954 [Conf]
  14. Wei Quan, Terence Soule
    A Study of the Role of Single Node Mutation in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:717-718 [Conf]
  15. Bart Rylander, Terence Soule, James A. Foster, Jim Alves-Foss
    Quantum Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:373- [Conf]
  16. Matthew Settles, Paul Nathan, Terence Soule
    Breeding swarms: a new approach to recurrent neural network training. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:185-192 [Conf]
  17. Matthew Settles, Brandon Rodebaugh, Terence Soule
    Comparison of Genetic Algorithm and Particle Swarm Optimizer When Evolving a Recurrent Neural Network. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:148-149 [Conf]
  18. Matthew Settles, Terence Soule
    Breeding swarms: a GA/PSO hybrid. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:161-168 [Conf]
  19. Terence Soule
    Heterogeneity and Specialization in Evolving Teams. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:778-785 [Conf]
  20. Jason Stevens, Robert B. Heckendorn, Terence Soule
    Exploiting disruption aversion to control code bloat. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1605-1612 [Conf]
  21. Russell Thomason, Terence Soule
    Redundant genes and the evolution of robustness. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:959-960 [Conf]
  22. Christopher Willis-Ford, Terence Soule
    Non-stationary Subtasks Can Improve Diversity in Stationary Tasks. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:307-317 [Conf]
  23. Xue Zhong, Terence Soule
    Growth of self-canceling code in evolutionary systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:223-228 [Conf]
  24. Terence Soule, James A. Foster
    Genetic Algorithm Hardness Measures Applied to the Maximum Clique Problem. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:81-88 [Conf]
  25. Huaqiang Wei, Deborah A. Frincke, Jim Alves-Foss, Terence Soule, Hugh Pforsich
    A layered decision model for cost-effective network defense. [Citation Graph (0, 0)][DBLP]
    IRI, 2005, pp:506-511 [Conf]
  26. Terence Soule, James A. Foster
    Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1998, v:6, n:4, pp:293-309 [Journal]
  27. Terence Soule, Robert B. Heckendorn
    An Analysis of the Causes of Code Growth in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2002, v:3, n:3, pp:283-309 [Journal]
  28. Kosuke Imamura, Terence Soule, Robert B. Heckendorn, James A. Foster
    Behavioral Diversity and a Probabilistically Optimal GP Ensemble. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2003, v:4, n:3, pp:235-253 [Journal]
  29. Terence Soule
    Genetic Programming 1997: Proceedings Of The Second Annual Conference On Genetic Programming. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1997, v:1, n:4, pp:294-295 [Journal]
  30. Russell Thomason, Terence Soule
    Novel ways of improving cooperation and performance in ensemble classifiers. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1708-1715 [Conf]
  31. Stanley Phillips Gotshall, Terence Soule
    Stochastic training of a biologically plausible spino-neuromuscular system model. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:253-260 [Conf]

  32. Training Time and Team Composition Robustness in Evolved Multi-agent Systems. [Citation Graph (, )][DBLP]


  33. Environmental robustness in multi-agent teams. [Citation Graph (, )][DBLP]


  34. Dynamic particle swarm optimization via ring topologies. [Citation Graph (, )][DBLP]


  35. Improving Markov chain classification using string transformations and evolutionary search. [Citation Graph (, )][DBLP]


  36. Evolution of team composition in multi-agent systems. [Citation Graph (, )][DBLP]


  37. Noise pressure: systematic overestimation of population fitness in genetic algorithms with noisy fitness functions. [Citation Graph (, )][DBLP]


  38. A developmental algorithm for multi-agent swarms with scalable hierarchies. [Citation Graph (, )][DBLP]


  39. Constant versus variable arity operators in genetic programming. [Citation Graph (, )][DBLP]


  40. A developmental approach to evolving scalable hierarchies for multi-agent swarms. [Citation Graph (, )][DBLP]


  41. Resilient Individuals Improve Evolutionary Search. [Citation Graph (, )][DBLP]


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