인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
To reduce user fatigue caused by interactive design of traditional vase shapes and improve design efficiency, this study proposes an improved interactive genetic algorithm based on collaborative evaluation model. Given this, an interactive design model for vase shape is constructed using an improved interactive genetic algorithm. Empirical analysis of the interactive design model for the vase design found that the number of evaluated individuals in the model was 48, and the running time was 302.7 seconds, which is lower than the comparison model. The fitness of this model was 7.8, with an average satisfaction score of 8.8, which is higher than the comparison model. In conclusion, the objective of the study is to develop a novel collaborative evaluation mechanism and demonstrate its efficacy in the context of vase design. This approach not only simplifies the operational complexity for users, but also enhances the efficiency of the design process and the quality of the output. Furthermore, the interactive design model for vase modeling proposed in the study provides a significant theoretical and practical foundation for fostering innovation and practice in the field of image design, with the potential for broad applicability to other product design domains.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-25-02-093686197
