Design of GAs Toolbox Matlab
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Graphical Abstract
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Abstract
Owing to adopting the Matlab language, the genetic algorithms (GAs) are achieved and further, GAs Toolbox was set up. The developed GAs Toolbox supports both the binary and the floating-point encoding methods so that the performance of GAs is enhanced. The toolbox was used to test a series of nonlinear, multi-peak-value functions and demonstrates excellent performances. It is also found that the floating-point GA is superior to the binary GA and the traditional optimization methods in solution-finding rate and exactness.
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