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Most of the real-world problems could be encoded by different representations, but genetic and evolutionary algorithms (GEAs) may not be able to successfully solve the problems based on their phenotypic representations, unless we use some problem-specific genetic operators. Therefore, a proper genetic representation is necessary when using GEAs on the real-world problems (Goldberg, 1989; Liepins, 1990; Whitley, 2000; Liang, 2011).

A Splicing/Decomposable Binary Encoding and Its Novel Operators for Genetic and Evolutionary Algorithms