Title :
Developing support system for cover design with interactive evolutionary computation
Author :
Fei Yu ; Yuanxiang Li ; Li Kuang ; Zhijie Li
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
fDate :
May 31 2014-June 2 2014
Abstract :
We developed an automatic cover design supporting system for non-professional users to create their preferred cover designs in a user-oriented way by using Interactive Genetic Algorithm(IGA). Different from the template design pattern, our system allows an interaction between the algorithm and the Decision Maker(DM). It allows the users to take into account their preferences at each generation of IGA. In order to avoid the fatigue of the users, a novel evaluation model consisting of DM evaluation and machine evaluation is applied. The whole population is classified into clusters by the K-means clustering algorithm and only the most representative individual of each cluster is evaluated by the DM. The support system is applied to a book cover design. The results show that the proposed IGA is able to capture preferences of user in a reasonable number of iterations.
Keywords :
art; genetic algorithms; interactive systems; pattern clustering; DM; IGA; K-means clustering algorithm; automatic cover design supporting system; book cover design; decision maker; interactive evolutionary computation; interactive genetic algorithm; nonprofessional users; template design pattern; Biological cells; Clustering algorithms; Fatigue; Image color analysis; Layout; Sociology; Statistics; Cover Design; Interactive Evolutionary Computation; K-means clustering;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852182