Surrogate assisted-hybrid differential evolution algorithm using diversity control

Author:

S. Miruna Joe Amali1,S. Baskar2

Affiliation:

1. Computer Science and Engineering Department; K. L. N. College of Engineering; Madurai Tamil Nadu India

2. Electrical and Electronics Engineering Department; Thiagarajar College of Engineering; Madurai Tamil Nadu India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference25 articles.

1. Auger , A. N. Hansen 2005 A restart CMA evolution strategy with increasing population size

2. Chang , P.C. W.H. Huang C.J. Ting C.Y. Fan 2008 Dynamic diversity control in genetic algorithm for extended exploration of solution space in multi-objective TSP

3. Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems;Elanayar;IEEE Transactions on Neural Networks,1994

4. El-Beltagy , M.A. P.B. Nair A.J. Keane 2003 Metamodeling techniques for evolutionary optimization of computationally expensive problems: promise and limitations

5. A framework for evolutionary optimization with approximate fitness functions;Jin;IEEE Transactions on Evolutionary Computation,2002

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