http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Application of Multiobjective Genetic Algorithms for Optimizing Aircraft Crew Pairing Problems
Tung-Kuan Liu,Chiu-Hung Chen,Jyh-Horng Chou,Shinn-Horng Chen,Ta-Yuan Chou 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper develops a method of inequalities-based multiobjective genetic algorithm (MMGA) to solve the crew pairing problems which mainly assign the crew members to each flight segment of a given time period, while complying with a variety of work regulations and collective agreements.There are various objectives to be addressed here and formulated into mathematical equations including legal turn-around time, dead-head, layover, flying time and flying duty period. Through the verification of the real-world study case, the proposed method can solve the crew pairing problems, and obtain feasible solutions which are more useful for practical use.