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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
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.21 No.2
- 발행연도
- 2022.6
- 수록면
- 313 - 321 (9page)
- DOI
- 10.7232/iems.2022.21.2.313
이용수
초록· 키워드
오류제보하기
Project scheduling is one of the most complex yet important issues in project-based planning. Scheduling is a topic that has entered the project from the production space and has been considered by many researchers in recent years. This problem has always faced many challenges due to its complex limitations in the real world. One of these issues is resource scheduling, known in optimization as the RCPSP problem. The study"s main aim is to investigate the application of a forest optimization algorithm for resource constraint project scheduling. In this research, the RCPSP problem is optimized. A mathematical model is then proposed and then optimized using meteorological algorithms for forest optimization and refrigeration simulation. A hybrid meta-algorithm has also been developed for this document. Examination and comparisons of this algorithm show that the proposed method has the necessary efficiency both in terms of speed and quality of solutions.
목차
ABSTRACT
1. INTRODUCTION
2. STATEMENT OF THE PROBLEM
3. FOREST OPTIMIZATION ALGORITHM (FOA)
4. GRADUAL SIMULATED ANNEALING
6. PROPOSED METHOD TO SOLVE RCPSP USING FOREST OPTIMIZATION ALGORITHM
7. COMPUTATIONAL RESULTS
8. CONCLUSION
REFERENCES
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