A latent space-based estimation of distribution algorithm for large-scale global optimization
暂无分享,去创建一个
[1] Concha Bielza,et al. Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers , 2009, Methods of Information in Medicine.
[2] J. Ford,et al. Hybrid estimation of distribution algorithm for global optimization , 2004 .
[3] Xin Yao,et al. Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms , 2008, Inf. Sci..
[4] Xiaodong Li,et al. Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms , 2011, GECCO '11.
[5] Concha Bielza,et al. Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms , 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[6] Xiaodong Li,et al. Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization , 2014, IEEE Transactions on Evolutionary Computation.
[7] David E. Goldberg,et al. Using Previous Models to Bias Structural Learning in the Hierarchical BOA , 2008, Evolutionary Computation.
[8] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[9] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[10] Pedro Larrañaga,et al. Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks , 2000 .
[11] Petr Posík,et al. ON THE UTILITY OF LINEAR TRANSFORMATIONS FOR POPULATION-BASED OPTIMIZATION ALGORITHMS , 2005 .
[12] Xin Yao,et al. Differential evolution for high-dimensional function optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.
[13] P. Bosman,et al. Continuous iterated density estimation evolutionary algorithms within the IDEA framework , 2000 .
[14] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[15] Tao Lin,et al. An adaptive multiobjective estimation of distribution algorithm with a novel Gaussian sampling strategy , 2017, Soft Comput..
[16] Xin Yao,et al. Multilevel cooperative coevolution for large scale optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[17] Concha Bielza,et al. Network measures for information extraction in evolutionary algorithms , 2013, Int. J. Comput. Intell. Syst..
[18] Tapabrata Ray,et al. Society and civilization: An optimization algorithm based on the simulation of social behavior , 2003, IEEE Trans. Evol. Comput..
[19] Marcus Gallagher,et al. A Modified Screening Estimation of Distribution Algorithm for Large-Scale Continuous Optimization , 2014, SEAL.
[20] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[21] Xin Yao,et al. Large scale evolutionary optimization using cooperative coevolution , 2008, Inf. Sci..
[22] Peter Tiño,et al. Scaling Up Estimation of Distribution Algorithms for Continuous Optimization , 2011, IEEE Transactions on Evolutionary Computation.
[23] Kenneth A. De Jong,et al. A Cooperative Coevolutionary Approach to Function Optimization , 1994, PPSN.
[24] Ata Kabán,et al. Heavy tails with parameter adaptation in random projection based continuous EDA , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[25] Jason D. Lohn,et al. A circuit representation technique for automated circuit design , 1999, IEEE Trans. Evol. Comput..
[26] Qingfu Zhang,et al. An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods , 2015, IEEE Transactions on Evolutionary Computation.
[27] Xiaodong Li,et al. DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization , 2017, IEEE Transactions on Evolutionary Computation.
[28] Xiaodong Li,et al. Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization , 2017, IEEE Transactions on Evolutionary Computation.
[29] Shahryar Rahnamayan,et al. Metaheuristics in large-scale global continues optimization: A survey , 2015, Inf. Sci..
[30] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[31] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[32] J. A. Lozano,et al. Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) , 2006 .
[33] Shahryar Rahnamayan,et al. Incremental cooperative coevolution for large-scale global optimization , 2018, Soft Comput..
[34] Yun Shang,et al. A Note on the Extended Rosenbrock Function , 2006 .
[35] Xin-She Yang,et al. Swarm intelligence based algorithms: a critical analysis , 2013, Evolutionary Intelligence.
[36] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[37] Dirk Thierens,et al. Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA , 2000, PPSN.
[38] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[39] Anders Lyhne Christensen,et al. Novelty-Driven Cooperative Coevolution , 2017, Evolutionary Computation.
[40] Fang-Xiang Wu,et al. Inference of Biological S-System Using the Separable Estimation Method and the Genetic Algorithm , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[41] M. Zhou,et al. Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[42] MengChu Zhou,et al. Improved Quantum-Inspired Evolutionary Algorithm for Large-Size Lane Reservation , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[43] Xin Yao,et al. Clustering and learning Gaussian distribution for continuous optimization , 2005, IEEE Trans. Syst. Man Cybern. Part C.
[44] Roberto Santana,et al. Structural transfer using EDAs: An application to multi-marker tagging SNP selection , 2012, 2012 IEEE Congress on Evolutionary Computation.
[45] Ata Kabán,et al. Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective , 2013, Evolutionary Computation.
[46] Shahryar Rahnamayan,et al. Multilevel framework for large-scale global optimization , 2017, Soft Comput..
[47] Michèle Sebag,et al. Extending Population-Based Incremental Learning to Continuous Search Spaces , 1998, PPSN.
[48] Xiaodong Li,et al. Benchmark Functions for the CEC'2010 Special Session and Competition on Large-Scale , 2009 .
[49] MengChu Zhou,et al. Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).