Title :
Evolutionary optimization of hybrid indices for fashion design
Author :
Xiaoyan Sun ; Dunwei Gong
Author_Institution :
Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou
Abstract :
The color harmony and style novelty of fashion are both considered for fashion design problems. The characteristics of the problem are firstly analyzed. It drew the conclusion that this kind of problems contains explicit and implicit objectives simultaneously and the two objectives are not conflicting as typical multi-objective optimization problems. Secondly, the explicit expression of color harmony is presented and genetic algorithm is adopted to perform the optimization. Thirdly, interactive genetic algorithm is applied to optimize the style novelty and to obtain the evaluation of implicit index. The results obtained by the two methods respectively are integrated and the two indices are co-evolved. Lastly, the interactive interface of human-machine is given and the results compared with the optimization using merely interactive genetic algorithm show the validity of the presented algorithm.
Keywords :
design for manufacture; genetic algorithms; human computer interaction; user interfaces; color harmony; evolutionary optimization; fashion design problem; fashion style novelty; human-machine interactive interface; hybrid indices; implicit index; interactive genetic algorithm; multiobjective optimization problem; Algorithm design and analysis; Capacitance-voltage characteristics; Design optimization; Electronic mail; Evolutionary computation; Extraterrestrial measurements; Genetic algorithms; Man machine systems; Moon; Sun; Fashion Design; Genetic Algorithm; Hybrid Performance Indices; Interactive Evolutionary Algorithm;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597297
