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유전 알고리즘과 No Fit Polygon법을 이용한 임의 형상 부재 최적배치 연구
유병항(BYUNG-HANG RYU),김동준(DONG-JOON KIM) 한국해양공학회 2004 韓國海洋工學會誌 Vol.18 No.2
The purpose of this study is to develop a nesting algorithm, using a genetic algorithm to optimize nesting order, and modified No Fit Polygon(NFP) methodology to place parts with the order generated from the previous genetic algorithm. Various genetic algorithm techniques, which have thus far been applied to the Travelling Salesman Problem, were tested. The partially mapped crossover method, the inversion method for mutation, the elitist strategy, and the linear scaling method of fitness value were selected to optimize the nesting order. A modified NFP methodology, with improved searching capability for non-convex polygon, was applied repeatedly to the placement of parts according to the order generated from previous genetic algorithm. Modified NFP, combined with the genetic algorithms that have been proven in TSP, were applied to the nesting problem. For two example cases, the combined nesting algorithm, proposed in this study, shows better results than that from previous studies.
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노재정,유병항,차명수 경성대학교 생산기술연구소 1996 생산기술연구지 Vol.3 No.-
The purpose of this thesis is to get data which need to set up the positive directions for Coeducational Technical High School. To attain these data, Technical High School boy and girl students' consciousness of career was examined, and then their consciousness levels of career, choices of career, views for getting a job, and states of career education were compared and analyzed. The main points to accomplish the purpose of this thesis are as follows : 1. Do Technical High School students' motives of entrance and major choice indicate a meaningful difference by both sexes? 2. Do Technical High School students' self-consciousnesses indicate a meaningful difference by both sexes? 3. Do Technical High School students' consciousnesses of career indicate a meaningful difference by both sexes?
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