TY - GEN
T1 - Genetic algorithm with knowledge-based encoding for interactive fashion design
AU - Kim, Hee Su
AU - Cho, Sung Bae
PY - 2000
Y1 - 2000
N2 - Evolutionary computation gives a great potential in several real-world problems as a powerful tool for optimization and classification, but there still remain a lot of obstacles to be applied to artistic domains. To overcome the shortcoming a variety of techniques have been proposed, and among them interactive genetic algorithm (IGA) is extensively studied in these days. IGA exploits the interaction with human in the course of evolution by taking his evaluation as fitness. In this paper, we propose an effective knowledge-based encoding scheme for IGA in a real-world application. This method has been applied to a fashion design aid system, which can reflect user's preference or emotion that is usually difficult to be expressed explicitly. To show that the proposed encoding scheme produces more realistic and practical design, an experimental study as well as a theoretical investigation with schema theorem has been conducted.
AB - Evolutionary computation gives a great potential in several real-world problems as a powerful tool for optimization and classification, but there still remain a lot of obstacles to be applied to artistic domains. To overcome the shortcoming a variety of techniques have been proposed, and among them interactive genetic algorithm (IGA) is extensively studied in these days. IGA exploits the interaction with human in the course of evolution by taking his evaluation as fitness. In this paper, we propose an effective knowledge-based encoding scheme for IGA in a real-world application. This method has been applied to a fashion design aid system, which can reflect user's preference or emotion that is usually difficult to be expressed explicitly. To show that the proposed encoding scheme produces more realistic and practical design, an experimental study as well as a theoretical investigation with schema theorem has been conducted.
UR - http://www.scopus.com/inward/record.url?scp=84867804317&partnerID=8YFLogxK
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U2 - 10.1007/3-540-44533-1_42
DO - 10.1007/3-540-44533-1_42
M3 - Conference contribution
AN - SCOPUS:84867804317
SN - 3540679251
SN - 9783540679257
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 404
EP - 414
BT - PRICAI 2000, Topics in Artificial Intelligence - 6th Pacific Rim International Conference on Artificial Intelligence, Proceedings
A2 - Mizoguchi, Riichiro
A2 - Slaney, John
PB - Springer Verlag
T2 - 6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000
Y2 - 28 August 2000 through 1 September 2000
ER -