Interactive Genetic Algorithms with Grey Modeling for Individuals Fitness
Guangsong Guo, Liangji Chen · 2012
In order to apply the interactive Genetic Algorithms (GA) into complicated optimization problem,an interactive Genetic Algorithms with grey prediction for fitness of evolutionary individuals is proposed,in which the uncertainty of evolutionary individuals is measured by gery modeling. By predicting the grey modeling, the reliableness which reflecting the measurement is abstracted. On this basis,the formulation of fitness adjustment is proposed. The algorithm is applied to a fashion evolutionary design system, test results show that it can find more satisfactory solutions per generation.