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Version: 1.3
31. August 2001

 to the paper
Inspiration-based Media Retrieval with Interactive Genetic Algorithm
Prof. Dr. Sung-Bae Cho 
Dept. of Computer Science, Yonsei University 
134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, Korea 
sbcho@csai.yonsei.ac.kr, sclab.yonsei.ac.kr
 
Abstract
Evolutionary computation has shown a great potential to work out several real-world problems in the point of optimisation, but it is still quite far from realizing a system of matching the human performance, especially in creative applications. To overcome this shortcoming, we present a promising technique called interactive genetic algorithm (IGA), which performs optimisation with human evaluation and the user can obtain what he has in mind through repeated interaction with. To show the usefulness of the IGA to develop effective inspiration-based systems, we have applied it to the problems of fashion design and emotion-based image retrieval.
 
Interactive Genetic Algorithm
Application to Fashion Design 
Application to Image Retrieval
Concluding Remarks
to the paper