Multi-user Interactive Genetic Algorithm Based on Knowledge Transform
Yinan Guo · Techniques of Automation and Applications · 2007
Aiming at the problem in the interactive genetic algorithm(IGA) that the small size of population may result in slow convergence rate,and the possibility of many users taking part in the evolution of the same problem,a knowledge-transform based IGA for multi-user is proposed in combination with a two-layer structure of cultural algorithm.With the application in garment industry,the above model and the relative strategies are analysed.Examples show that this model can improve the convergence speed of each population,and alleviate the users’ fatigue.