Structure-Encoding Differential Evolution for Integer Programming

Differential Evolution is a competitive method for continuous number optimization problems. A novel Structure-Encoding Differential Evolution (SEDE) algorithm was proposed for optimization problems with integer-parameter representation. In the SEDE Algorithm, each decision variable of every individual consists of two domains. One domain is float-encoding which is confined in a narrow range [0, 1]. The other domain is integer-encoding which is used to represent the problem space. A new operator, boundary-handling operator, was used to ensure each result generated by the mutation operator falling into the range [0, 1].