Abstract
When using the classic standard bit mutation operator, parent and offspring differ in a random number of bits, distributed according to a binomial law. This has the advantage that all Hamming distances occur with some positive probability, hence this operator can be used, in principle, for all fitness landscapes. The downside of this “one-size-fits-all” approach, naturally, is a performance loss caused by the fact that often not the ideal number of bits is flipped. Still, the fear of getting stuck in local optima has made standard bit mutation become the preferred mutation operator.
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