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A Maximum Entropy Approach to Sampling in EDA ? The Single Connected Case.

, , , and . CIARP, volume 2905 of Lecture Notes in Computer Science, page 683-690. Springer, (2003)

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Coordination of decisions in a spatial agent model, , and . Physica A: Statistical Mechanics and its Applications, 303 (1-2): 189--216 (Jan 1, 2002)Concurrent Mulitgrid Methods in an Object-Oriented Environment: A Case Study., and . ICPP, page 143-146. IEEE Computer Society Press, (1985)Mapping strategies in message-based multiprocessor systems., and . Parallel Comput., 9 (2): 213-225 (1989)The Equation for Response to Selection and Its Use for Prediction.. Evol. Comput., 5 (3): 303-346 (1997)An Investigation of the Phase Transitions of a Family of Probabilistic Automata., and . Adv. Complex Syst., 7 (1): 93-123 (2004)The Frequency Assignment Problem: A Look at the Performance of Evolutionary Search., and . Artificial Evolution, volume 1363 of Lecture Notes in Computer Science, page 263-274. Springer, (1997)Bayesian Inference, Minimum Description Length Principle, and Learning by Genetic Programming, and . Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, page 1--5. Tahoe City, California, USA, (9 July 1995)Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains., , and . CEC, page 938-945. IEEE, (2000)Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees, and . Advances in Genetic Programming 2, chapter 12, MIT Press, Cambridge, MA, USA, (1996)How Genetic Algorithms Really Work: Mutation and Hillclimbing.. PPSN, page 15-26. Elsevier, (1992)