MADS/F-Race: Mesh Adaptive Direct Search Meets F-Race
暂无分享,去创建一个
[1] Thomas Bartz-Beielstein,et al. Experimental Methods for the Analysis of Optimization Algorithms , 2010 .
[2] Charles Audet,et al. Analysis of Generalized Pattern Searches , 2000, SIAM J. Optim..
[3] Mauro Birattari,et al. Tuning Metaheuristics - A Machine Learning Perspective , 2009, Studies in Computational Intelligence.
[4] Thomas Stützle,et al. MAX-MIN Ant System , 2000, Future Gener. Comput. Syst..
[5] Thomas Stützle,et al. Stochastic Local Search: Foundations & Applications , 2004 .
[6] CHARLES AUDET,et al. Finding Optimal Algorithmic Parameters Using Derivative-Free Optimization , 2006, SIAM J. Optim..
[8] Thomas Stützle,et al. A Racing Algorithm for Configuring Metaheuristics , 2002, GECCO.
[9] Charles Audet,et al. Mesh Adaptive Direct Search Algorithms for Constrained Optimization , 2006, SIAM J. Optim..
[10] Luca Maria Gambardella,et al. Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..
[11] Thomas Stützle,et al. Iterated local search for the quadratic assignment problem , 2006, Eur. J. Oper. Res..
[12] Zbigniew Michalewicz,et al. Parameter Setting in Evolutionary Algorithms , 2007, Studies in Computational Intelligence.
[13] Marcus Gallagher,et al. Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks , 2007, Parameter Setting in Evolutionary Algorithms.
[14] A. E. Eiben,et al. Comparing parameter tuning methods for evolutionary algorithms , 2009, 2009 IEEE Congress on Evolutionary Computation.
[15] Thomas Stützle,et al. F-Race and Iterated F-Race: An Overview , 2010, Experimental Methods for the Analysis of Optimization Algorithms.