An information geometry perspective on estimation of distribution algorithms: boundary analysis
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[1] M. Pelikán,et al. The Bivariate Marginal Distribution Algorithm , 1999 .
[2] Paul A. Viola,et al. MIMIC: Finding Optima by Estimating Probability Densities , 1996, NIPS.
[3] Markus H ohfeld,et al. Random keys genetic algorithm with adaptive penalty function for optimization of constrained facility layout problems , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[4] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[5] Siddhartha Shakya,et al. Optimization by estimation of distribution with DEUM framework based on Markov random fields , 2007, Int. J. Autom. Comput..
[6] David E. Goldberg,et al. Linkage Problem, Distribution Estimation, and Bayesian Networks , 2000, Evolutionary Computation.
[7] Qingfu Zhang,et al. On the convergence of a class of estimation of distribution algorithms , 2004, IEEE Transactions on Evolutionary Computation.
[8] Shun-ichi Amari,et al. Methods of information geometry , 2000 .
[9] Shun-ichi Amari,et al. Information geometry of Boltzmann machines , 1992, IEEE Trans. Neural Networks.
[10] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[11] Marc Toussaint,et al. The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms , 2002, GECCO.
[12] Marc Toussaint. Notes on information geometry and evolutionary processes , 2004, ArXiv.
[13] Shun-ichi Amari,et al. Information geometry of the EM and em algorithms for neural networks , 1995, Neural Networks.
[14] Shun-ichi Amari,et al. Information geometry on hierarchy of probability distributions , 2001, IEEE Trans. Inf. Theory.