Binary or Float?
As discussed in the previous chapter, there are some problems that GA applications encounter that sometimes delay, if not prohibit, finding the optimal solutions with the desired precision. One of the implications of these problems was premature convergence of the entire population to a non—global optimum (Chapter 4); other consequences include inability to perform fine local tuning and inability to operate in the presence of nontrivial constraints (Chapters 6 and 7).
KeywordsGenetic Algorithm Binary Representation Floating Point Gray Code Random Digit
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