When is an estimation of distribution algorithm better than an evolutionary algorithm?
暂无分享,去创建一个
Per Kristian Lehre | Xin Yao | Tianshi Chen | Ke Tang | X. Yao | K. Tang | P. Lehre | Tianshi Chen
[1] Xin Yao,et al. From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms , 2002, IEEE Trans. Evol. Comput..
[2] Xin Yao,et al. Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results , 2007, Int. J. Autom. Comput..
[3] W. Hoeffding. Probability Inequalities for sums of Bounded Random Variables , 1963 .
[4] Xin Yao,et al. On the analysis of average time complexity of estimation of distribution algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.
[5] Xin Yao,et al. Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins , 2009, 2009 IEEE Congress on Evolutionary Computation.
[6] Stefan Droste,et al. A rigorous analysis of the compact genetic algorithm for linear functions , 2006, Natural Computing.
[7] Pietro Simone Oliveto,et al. Analysis of population-based evolutionary algorithms for the vertex cover problem , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[8] David E. Goldberg,et al. Scalability of the Bayesian optimization algorithm , 2002, Int. J. Approx. Reason..
[9] Xin Yao,et al. Drift analysis and average time complexity of evolutionary algorithms , 2001, Artif. Intell..
[10] Xin Yao,et al. A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[11] Thomas Jansen,et al. On the analysis of the (1+1) evolutionary algorithm , 2002, Theor. Comput. Sci..
[12] Rajeev Motwani,et al. Randomized Algorithms , 1995, SIGA.
[13] R. Serfling. Probability Inequalities for the Sum in Sampling without Replacement , 1974 .
[14] Xin Yao,et al. A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem , 2005, IEEE Trans. Syst. Man Cybern. Part C.
[15] The Centre of Excellence for Research in Computational Intelligence and Applications , .
[16] María Cristina González Morgado. Contributions on theoretical aspects of estimation of distributions algorithms , 2006 .
[17] Xin Yao,et al. Analysis of Computational Time of Simple Estimation of Distribution Algorithms , 2010, IEEE Transactions on Evolutionary Computation.
[18] Xin Yao,et al. A study of drift analysis for estimating computation time of evolutionary algorithms , 2004, Natural Computing.
[19] Pietro Simone Oliveto,et al. Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation , 2008, Algorithmica.
[20] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[21] Xin Yao,et al. Estimation of distribution algorithms for testing object oriented software , 2007, 2007 IEEE Congress on Evolutionary Computation.
[22] Pietro Simone Oliveto,et al. Evolutionary algorithms and the Vertex Cover problem , 2007, 2007 IEEE Congress on Evolutionary Computation.