How do you avoid an invalid search space in a genetic algorithm?
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Published on 2010-02-16T05:08:17Z
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2010/05/17
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I am developing a GA for a school project and I've noticed that upon evaluating my functions for fitness, an individual is equivalent to its inverse.
For example, the set (1, 1, -1, 1) is equivalent to (-1, -1, 1, -1). To shrink my search space and reach a solution more efficiently, how can I avoid my crossovers from searching in this second half of the search space?
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