지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2018.10
- 수록면
- 104 - 108 (5page)
이용수
초록· 키워드
오류제보하기
This study proposes a new conflict resolution strategy through bi-objective optimization where two objective functions are included. The first objective function, which has been considered in a general single-objective optimization, is set to reduce the maneuvering amount of aircraft. For the second objective function, the number of maneuvering aircraft is newly proposed for the fairness between airlines. The epsilon-constraint method is applied to find the Pareto optimal solutions relaxing the tradeoff relationship between two competing objective functions. The best compromise solution among the given alternatives of the Pareto optimal solutions is determined based on the technique for order performance by similarity to an ideal solution. The performance of the proposed bi-objective optimization for conflict resolution is verified through numerical simulations.
목차
Abstract
1. INTRODUCTION
2. PROBLEM DESCRIPTION
3. BI-OBJECTIVE OPTIMIZATION
4. TOPSIS
5. NUMERICAL SIMULATION
6. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2018-003-003538047