Improved interactive genetic algorithm with interval value fuzzy set
Xiaohui Hu, Jun-Lian Chen, Xiaoying Zhang · Computer Engineering and Applications Journal · 2010
Interactive genetic algorithm with interval value fuzzy set can effectively alleviate user fatigue and avoid wasting time while user cannot give a precise value.This can largely quicken convergence velocity.At first,the way of interval value fuzzy set is adopted to indicate the result which is used to evaluate individual fitness value.It is called interval fitness value.Then it is sorted and its result is used to retrieve overall with interactive genetic algorithm.All the retrieval processes are in accordance with human thinking processes and can effectively retrieve satisfied individual.The method is used to image retrieval system and the results demonstrate that the method can effectively improve retrieval velocity and retrieve much better results.