Conference Papers




M. Wineberg and J. Chen (2004).The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA.
In R. Poli, et. al. (Eds.) The Proceedings of the Sixth Genetic and Evolutionary Computation Conference - Part II (GECCO-2004).
Berlin: Springer, pp. 318-329.

J. Chen and M. Wineberg (2004). Enhancement of the Shifting Balance Genetic Algorithm for Highly Multimodal Problems.
In G. W. Greenwood, etl al. (Eds.) The Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004).
IEEE Press, pp. 744-751.

G. Grewal, M. O'Cleirigh, and M. Wineberg (2003). An Evolutionary Approach to Behavioral-Level Synthesis.
In R. Sarker, etl al. (Eds.) The Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003).
IEEE Press, pp. 264-272.

M. Wineberg and F. Oppacher (2003). The Underlying Similarity of Diversity Measures Used in Evolutionary Computation.
In E. Cantú-Paz, et. al. (Eds.) The Proceedings of the Fifth Genetic and Evolutionary Computation Conference (GECCO-2003).
Berlin: Springer, pp. 1493-1504.

M. Wineberg and F. Oppacher (2003). Distances between Populations.
In E. Cantú-Paz, et. al. (Eds.) The Proceedings of the Fifth Genetic and Evolutionary Computation Conference (GECCO-2003).
Berlin: Springer, pp. 1481-1492.

M. Wineberg and F. Oppacher (2003). Metric for Popuation Comparisons in Evolutionary Computation Systems.
In M.H. Hamza (Ed.) Proceedings of the IASTED International Confererence on Intelligent Systems and Control (ICS 2003).
Anaheim: ACTA Press, pp. 264-269.

M. Wineberg and F. Oppacher (2003). A Linear Time Algorithm for Determinining Population Diversity in Evolutionary Computation.
In M.H. Hamza (Ed.)  Proceedings of the IASTED International Confererence on Intelligent Systems and Control (ICS 2003).
Anaheim: ACTA Press, pp. 275.

M. Wineberg and F. Oppacher (2000). Enhancing the GA's Ability to Cope with Dynamic Environments.
In D. Whitley (Ed.) The Proceedings of the Second Genetic and Evolutionary Computation Conference (GECCO-2000).
San Francisco: Morgan Kaufmann, pp. 3-10.

F. Oppacher and M. Wineberg (2000). Reconstructing the Shifting Balance Theory in a GA:Taking Sewall Wright Seriously.
In A. Zalzala (Ed.) The Proceedings of the 2000 Congress on Evolutionary Computation (CEC2000).
IEEE Press, pp. 219-226.

F. Oppacher and M. Wineberg (1999). The Shifting Balance Genetic Algorithm: Improving the GA in a Dynamic Environment.
In W. Banzhaf et. al. (Eds.) The Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99).
San Francisco: Morgan Kaufmann, pp. 504-510

F. Oppacher and M. Wineberg (1999). Modifying the Genetic Algorithm to Improve Behavior in Tracking a Moving Optimum.
In H. R. Arabnia (Ed.) The Proceedings of the 1999 International Conference on Artificial Intelligence (IC-AI'99).
CSREA Press, pp. 77-83.

F. Oppacher and M. Wineberg (1997). A Canonical Genetic Algorithm Based Approach to Genetic Programming.
In G. D. Smith, N. C. Steele and R. F. Albrecht (Eds.) International Conference on Neural Networks and Genetic Algorithms (ICANNGA'97).
Berlin: Springer-Verlag, pp. 401-404.

M. Wineberg and F. Oppacher (1996). The Benefits of Computing with Introns.
In J. R. Koza, D. E. Goldberg, D B. Fogel, R. L. Riolo (Eds.) Genetic Programming 1996: Proceedings of the First Annual Conference.
Cambridge Massachusetts: MIT Press, pp. 410-415.

M. Wineberg and F. Oppacher (1994). A Representation Scheme to Perform Program Induction in a Canonical Genetic Algorithm.
In Y. Davidor, H-P. Schwefel, R. Männer (Eds.) Parallel Problem Solving from Nature - PPSN III.
Berlin: Springer-Verlag,  pp. 292-301.