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Abstract The aggravation of financial condition of shipping companies in recent years and the emphasis on reducing greenhouse gas emissions have resulted in renewed interest in further optimizing ship performance through the development of green-ship or smart-ship technologies. A recent IMO study has indicated that ship route planning can achieve reductions in fuel consumption and the associated greenhouse gas emissions through technical and operational measures such as speed management and route planning. Related to these issues, a simultaneous optimization method of the direction and speed for ship route planning is proposed in this study. For this, an optimization problem for finding an optimal ship route is mathematically formulated considering fuel consumption and weather condition. Furthermore, boil off gas for LNG carrier and seakeeping performance are also considered in the problem. In the optimization problem, The direction and speed of the ship are selected as design variables. The requirement on the estimated arrival of time, the avoidance of land and the requirement of seakeeping performances are selected as constraints. And the minimization of fuel consumption and boil off gas are selected as objective functions. To solve this problem, seed based meta-heuristic algorithms such as seed-GA, seed-SMPSO, etc. were tested and used as an optimization algorithm. The seed based algorithm gives one seed (a frequent route for a specific region) to first solution set of genetic algorithms. Therefore, at least we can always get a better solution than the seed. In addition, we can find the solution much faster than existing algorithms by using the seed. To check the applicability of the proposed method, it was applied to various problems for ship route planning and compared with the results from existing methods and the commercial program. The results show that the proposed method is applicable to find the optimum shipping routes.
Publication Date 2017-09-25

Ki-Su Kim, Myung-Il Roh, Sung-Min Lee, Jihye Cha, Jongjin Park, DongYeon Lee, Booki Kim, "An Efficient Method for Cost and Risk Saving in Ship Route Planning", Proceedings of the 31st Asian-Pacific TEAM 2017, Osaka, Japan, 2017.09.25-28

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번호 분류 제목 Publication Date
298 Domestic Conference 김기수, 노명일, 이승민, “Position Based Dynamics 기반의 선박 침수 해석 방법”, 2018년도 대한조선학회 춘계학술발표회, 제주, pp. 260, 2018.05.24-25 file 2018-05-24
297 Domestic Conference 조로만, 노명일, 이성준, 하지상, "강화 학습 기반 무인 선박의 충돌 회피 알고리즘 연구", 2018년도 대한조선학회 춘계학술발표회, 제주, pp. 259, 2018.05.24-25 file 2018-05-24
296 Domestic Conference 이승민, 노명일, 김기수, 함승호, "해상 크레인의 이동을 위한 예인선의 최적 운영 계획", 2018년도 대한조선학회 춘계학술발표회, 제주, pp. 487, 2018.05.24-25 file 2018-05-25
295 Domestic Conference 박성우, 노명일, 오민재, 김성훈, "빅데이터 기술을 활용한 배관 설계에의 적용 예", 2018년도 한국CDE학회 동계학술발표회, 횡성, pp. 293, 2018.01.23-26 file 2018-01-25
294 Domestic Conference 김기수, 노명일, 이준범, "북극 항로 탐색을 위한 규정 및 지표 연구", 2018년도 한국CDE학회 동계학술발표회, 횡성, pp. 329, 2018.01.23-26 file 2018-01-25
293 Domestic Conference 함승호, 노명일, 이혜원, "삼각 메쉬로 구성된 탑재 블록의 실시간 충돌 검사 방법에 대한 연구", 2018년도 한국CDE학회 동계학술발표회, 횡성, pp. 279, 2018.01.23-26 file 2018-01-25
292 Conference Chairman Session 22, 2018년도 한국CDE학회 학술발표회, 횡성, 2018.01.24-26 2018-01-25
291 Domestic Conference 이성준, 노명일, 함승호, 김신형, "조선해양분야에서의 물리 기반 시뮬레이션의 실감 가시화 방안 연구", 2018년도 한국CDE학회 동계학술발표회, 횡성, pp. 190, 2018.01.23-26 file 2018-01-24
290 Conference Chairman 설계 및 법규 (A1), 2017년도 대한조선학회 추계학술발표회, 여수, 2017.11.02-03 2017-11-02
289 Domestic Conference 박성우, 노명일, 오민재, 김성훈, "빅데이터 기술을 이용한 자재 연관성 평가를 위한 연구", 2017년도 해양플랜트설계연구회 추계워크샵, 목포, 2017.11.16-17 file 2017-11-16
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