HPBILc: A histogram-based EDA for continuous optimization
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[1] Pedro Larrañaga,et al. Protein Folding in Simplified Models With Estimation of Distribution Algorithms , 2008, IEEE Transactions on Evolutionary Computation.
[2] Zengqi Sun,et al. Histogram-Based Estimation of Distribution Algorithm: A Competent Method for Continuous Optimization , 2008, Journal of Computer Science and Technology.
[3] Dirk Thierens,et al. Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA , 2000, PPSN.
[4] Shumeet Baluja,et al. Using Optimal Dependency-Trees for Combinational Optimization , 1997, ICML.
[5] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[6] Michèle Sebag,et al. Extending Population-Based Incremental Learning to Continuous Search Spaces , 1998, PPSN.
[7] Pedro Larrañaga,et al. Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks , 2000 .
[8] Xin Yao,et al. NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[9] Xin Yao,et al. Clustering and learning Gaussian distribution for continuous optimization , 2005, IEEE Trans. Syst. Man Cybern. Part C.
[10] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[11] S. Baluja,et al. Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space , 1997 .
[12] Xin Yao,et al. Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms , 2008, Inf. Sci..
[13] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .