EDISON SW 활용 경진대회 논문집 (Proceeding of EDISON Challenge)

한국과학기술정보연구원 (Korea Institute of Science and Technology Information)
권호 표지

번지점프 로프의 최적화를 통한 유전 알고리즘 사용

Using genetic algorithms to optimize The Bungee Jump rope

  • 우동현 (한국기술교육대학교 메카트로닉스공학부) ;
  • 한상용 (한국기술교육대학교 메카트로닉스공학부)
  • Woo, Dong Hyeon (Mechatronics Engineering, Korea University of Technology and Education) ;
  • Han, Sang Yong (Mechatronics Engineering, Korea University of Technology and Education)
  • 발행 : 2015.03.19
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This is a dissertation is in urgent announce of the domestic legislation about bungee jumping. A bungee jumping operator puts the blame on us for causing the bungee jumping accident but before calling it, equipment of bungee jumping was old and deficient. Fee of bungee jumping is fifty thousand won. A rope seller has raised the price, as operator break the rope used limit. So that is reasonable price. Even now, operator break the rope used limit and legislation about bungee jumping is nonexistent so bungee jumping accidents occur with frequency in domestic.

키워드