Optimizing Automated Stacking Crane Dispatching Strategy Using an MOEA for an Automated Container Terminal

• 발행기관: 한국항해항만학회
• 저자명: Jiemin Wu Ri Choe Taejin Park Kwang Ryel Ryu
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2011 춘계학술대회논문집, 216~217쪽, 전체 2쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2011.06.30

영문 초록

The problem of automated stacking cranes (ASC) dispatching in container terminals is addressed in this paper. We propose a heuristic-based ASC dispatching approach which adopts multi-criteria decision strategy. By aggregating different criteria the proposed strategy can consider multiple aspects of the dispatching situation and make robust decision in various situations. A multi-objective evolutionary algorithm (MOEA) is adopted to tune the weights associated to each criteria to minimize both the quay crane delay and external truck delay. The proposed approach is validated by comparison with different dispatching heuristics and simulation results obtained confirms its effectiveness

목차

ABSTRACT

1. Introduction

2. ASC Dispatching Problem

3. Heuristic Based ASC Dispatching

4. Experiment Result

5. Conclusion

Acknowledgements

참고문헌

키워드

automated container terminal automated stacking crane dispatching strategy optimization multi-objective evolutionary algorithm