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Optimization of Control Parameters for Genetic Algorithms

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1 Author(s)
Grefenstette, J.J. ; Computer Science Department, Vanderbilt University, Nashville, TN 37235, USA

The task of optimizing a complex system presents at least two levels of problems for the system designer. First, a class of optimization algorithms must be chosen that is suitable for application to the system. Second, various parameters of the optimization algorithm need to be tuned for efficiency. A class of adaptive search procedures called genetic algorithms (GA) has been used to optimize a wide variety of complex systems. GA's are applied to the second level task of identifying efficient GA's for a set of numerical optimization problems. The results are validated on an image registration problem. GA's are shown to be effective for both levels of the systems optimization problem.

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Systems, Man and Cybernetics, IEEE Transactions on  (Volume:16 ,  Issue: 1 )