Transforming the search space with Gray coding

Abstract
Genetic algorithm test functions have typicallybeen designed with properties in numeric space that makeit difficult to locate the optimal solution using traditionaloptimization techniques. The use of Gray coding has beenfound to enhance the performance of genetic search in somecases. However, Gray coding produces a different functionmapping that may have fewer local optima and different relativehyperplane relationships. Therefore, inferences abouta function will not necessarily hold...

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