Advanced neighborhoods and problem difficulty measures
暂无分享,去创建一个
[1] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[2] Mohamed Slimane,et al. A Critical and Empirical Study of Epistasis Measures for Predicting GA Performances: A Summary , 1997, Artificial Evolution.
[3] Martin Pelikan,et al. Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms , 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[4] David Maxwell Chickering,et al. A Bayesian Approach to Learning Bayesian Networks with Local Structure , 1997, UAI.
[5] P. Stadler. Landscapes and their correlation functions , 1996 .
[6] Nir Friedman,et al. Learning Bayesian Networks with Local Structure , 1996, UAI.
[7] Kalyanmoy Deb,et al. Genetic Algorithms, Noise, and the Sizing of Populations , 1992, Complex Syst..
[8] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[9] D. Goldberg,et al. Domino convergence, drift, and the temporal-salience structure of problems , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[10] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[11] David E. Goldberg,et al. A hierarchy machine: Learning to optimize from nature and humans , 2003, Complex..
[12] Franz Rothlauf,et al. Evaluation-Relaxation Schemes for Genetic and Evolutionary Algorithms , 2004 .
[13] E. Weinberger,et al. Correlated and uncorrelated fitness landscapes and how to tell the difference , 1990, Biological Cybernetics.
[14] D. Goldberg,et al. Escaping hierarchical traps with competent genetic algorithms , 2001 .
[15] Martin V. Butz,et al. Performance of Evolutionary Algorithms on Random Decomposable Problems , 2006, PPSN.
[16] Terry Jones,et al. Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms , 1995, ICGA.
[17] Vassilis Zissimopoulos,et al. Autocorrelation Coefficient for the Graph Bipartitioning Problem , 1998, Theor. Comput. Sci..
[18] David E. Goldberg,et al. The Design of Innovation: Lessons from and for Competent Genetic Algorithms , 2002 .
[19] G. Harik. Linkage Learning via Probabilistic Modeling in the ECGA , 1999 .
[20] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[21] Peter Merz,et al. Advanced Fitness Landscape Analysis and the Performance of Memetic Algorithms , 2004, Evolutionary Computation.
[22] Martin V. Butz,et al. Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap , 2009, GECCO '09.
[23] Bernd Freisleben,et al. Greedy and Local Search Heuristics for Unconstrained Binary Quadratic Programming , 2002, J. Heuristics.
[24] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[25] Andrew M. Sutton,et al. A polynomial time computation of the exact correlation structure of k-satisfiability landscapes , 2009, GECCO '09.
[26] Martin Pelikan. NK landscapes, problem difficulty, and hybrid evolutionary algorithms , 2010, GECCO '10.
[27] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .