Evaluation Of Canonical Algorithms And Adaptive Algorithms For Two Known Problems

Canonical Algorithms, Adaptive Algorithms, One-Max Problem, Rastrigin’s Function, Genetic Algorithms, Evolutionary algorithms

Evaluation Of Canonical Algorithms And Adaptive Algorithms For Two Known Problems

Keywords:

-,

___

  • T. Back and M. Shutz. Intelligent Mutation Rate Control in Canonical Genetic Algorithms. Fundamentals of Intelligent Systems, number 1079 in Lecture Notes in Artificial Intelligence, pages 158-167, Springer-Verlag, 1996.
  • A.E. Eiben and Mark Jelasity. A Critical Note on Experimental Research Methodology in EC. In Proc. of the 2002 Congress on Evolutionary Computations, IEEE, pp 532-587.
  • A.E. Eiben and at all. Parameter Control in Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation, Vol. 3, pp. 124-141
  • M.Glickman and K.Sycara. Evolutionary Algorithms: Exploring the Dynamics of Self- Adaptation. Genetic Programming 1998: Proceedings of the Third Annual Conference.
  • M.Glickman and K.Sycara. Reasons for Premature Convergence of Self-Adapting Mutation Rates. Proc. of the 2000 Congress on Evolutionary Computation.