평면도의 최소 영역 평가에서 유전자 알고리듬과 심플렉스 방법의 비교

• 영문명: Comparison between Genetic Algorithm and Simplex Method in the Evaluation of Minimum Zone for Flatness
• 발행기관: 강원대학교 산업기술연구소
• 저자명: 현창헌(Hyun Chang Hun) 신상철(Shin Snag Choel)
• 간행물 정보: 『산업기술연구』vol.20, 1~8쪽, 전체 8쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2000.09.30

영문 초록

The definition of flatness is given by ISO. ANSI, KS. etc. but those standards don’t mention about the specific methods for the flatness. So various solution models that are based on the Minimum Zone Method have been proposed as an optimization problem for the minimax curve fitting. But it has been rare to compare some optimization algorithms to make a guideline for choosing better algorithms in this field. Hence this paper examined and compared Genetic Algorithm and Simplex Method to the evaluation of flatness. As a result. Genetic Algorithm gave the better or equal flatness than Simplx Method but it has the inefficiency caused from the large number of iteration. Therefore, in the future. another researches about alternative algorithms including Hybrid Genetic Algorithm should be achieved to improve the efficiency of Genetic Algorithm for the evaluation of flatness.

목차

Abstract

1. 서론

2. 배경 이론

3. 실험 및 결과 고찰

4. 결론

참고문헌

키워드

평면도 최소 영역법 유전자 알고리듬 심플렉스 방법 Flatness Minimum Zone Method Genetic Algorithm Simplex Method