Adaptive Strategies for Operator Allocation

[1]  David E. Goldberg,et al.  Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding , 1990, Machine Learning.

[2]  Jim Smith,et al.  Operator and parameter adaptation in genetic algorithms , 1997, Soft Comput..

[3]  Zbigniew Michalewicz,et al.  Parameter control in evolutionary algorithms , 1999, IEEE Trans. Evol. Comput..

[4]  Heinz Mühlenbein,et al.  Strategy Adaption by Competing Subpopulations , 1994, PPSN.

[5]  Dirk Thierens,et al.  An Adaptive Pursuit Strategy for Allocating Operator Probabilities , 2005, BNAIC.

[6]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[7]  David E. Goldberg,et al.  Decision making in a hybrid genetic algorithm , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[8]  Martin J. Oates,et al.  On Fitness Distributions and Expected Fitness Gain of Mutation Rates in Parallel Evolutionary Algorithms , 2002, PPSN.

[9]  Christian Igel,et al.  Operator adaptation in evolutionary computation and its application to structure optimization of neural networks , 2003, Neurocomputing.

[10]  P. S. Sastry,et al.  A Class of Rapidly Converging Algorithms for Learning Automata , 1984 .

[11]  Tzung-Pei Hong,et al.  Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms , 2000, J. Heuristics.

[12]  Lawrence Davis,et al.  Adapting Operator Probabilities in Genetic Algorithms , 1989, ICGA.

[13]  Bryant A. Julstrom,et al.  What Have You Done for Me Lately? Adapting Operator Probabilities in a Steady-State Genetic Algorithm , 1995, ICGA.

[14]  Peter Auer,et al.  The Nonstochastic Multiarmed Bandit Problem , 2002, SIAM J. Comput..

[15]  Peter Ross,et al.  Adapting Operator Settings in Genetic Algorithms , 1998, Evolutionary Computation.