![fashion design app fashion design app](https://www.it4nextgen.com/wp-content/uploads/2020/01/fashion-designing-app.png)
He was also the recipient of the Richard E.
![fashion design app fashion design app](https://i.pinimg.com/236x/fd/7e/d1/fd7ed122a4c91cc245f668bf5133180a--fashion-design-app.jpg)
Cho was awarded outstanding paper prizes from the IEEE Korea Section in 19, and another one from the Korea Information Science Society in 1990.
![fashion design app fashion design app](https://www.easytechtrick.org/wp-content/uploads/2017/09/best-Fashion-Designer-Apps.jpg)
His research interests include neural networks, pattern recognition, intelligent man–machine interfaces, evolutionary computation, and artificial life. Since 1995, he has been an Associate Professor in the Department of Computer Science, Yonsei University. He was an Invited Researcher of Human Information Processing Research Laboratories at ATR (Advanced Telecommunications Research) Institute, Kyoto, Japan from 1993 to 1995, and a Visiting Scholar at University of New South Wales, Canberra, Australia in 1998. He worked as a Member of the Research Staff at the Center for Artificial Intelligence Research at KAIST from 1991 to 1993. degrees in computer science from KAIST (Korea Advanced Institute of Science and Technology), Taejeon, Korea, in 19, respectively. degree in computer science from Yonsei University, Seoul, Korea, in 1988 and the M.S. The experiments with several human subjects show that the IGA approach to dress design aid system is promising. We have implemented the system with OpenGL and VRML to enhance the system interface. By incorporating the domain-specific knowledge into the genotype, we could develop a more realistic design aid system for women’s dress. Unlike the previous works that attempt to model the dress design by several spline curves, the proposed system is based on a new encoding scheme that practically describes a dress with three parts: body and neck, sleeve, and skirt. This enables IGA to be applied to artistic domains, and we propose a fashion design aid system using it. IGA uses human's response as fitness value when the fitness function cannot be explicitly defined. To overcome this sort of problem interactive genetic algorithm (IGA) has been recently proposed, as a new trend of evolutionary computation. This approach, however, can neither deal with continuous change of fashion nor reflect personal taste well, as it just depends on large amount of collected data. In general, computer-aided design support systems have got an approach of traditional artificial intelligence, which statistically analyzes data such as the behavior of designer, to extract formal design behavior.