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Differential Evolution (DE) algorithm is well known real parameter optimization method and has been successfully applied in many different fields. The operators used in DE are simple, however, the mechanism in which the operators are defined, makes it impossible to apply the standard DE to combinatorial problems directly. A novel binary DE was proposed to extend DE to solve binary space optimization...
A modified Differential Evolution algorithm was proposed to solve the NP-complete Task Assignment problem. In the modified Differential Evolution algorithm, a new mapping operation was constructed to generate the permutation from the floating-point coded gene of each individual in the current population. This slightly modification made the extension of the continuous field of Differential Evolution...
New binary differential evolution algorithm was proposed for the combinatorial optimization problem. With the same framework of the original differential evolution algorithm, three new operators were used to expand the continuous field of the original differential evolution to the discrete field. Firstly, a new operator, mapping operator, in the new algorithm was used to ensure the original mutation...
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