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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.21 No.3
- 발행연도
- 2022.9
- 수록면
- 492 - 502 (11page)
- DOI
- 10.7232/iems.2022.21.3.492
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초록· 키워드
오류제보하기
In today’s competitive environment, projects must be implemented at a lower cost and in less time, and resources must be used optimally. Therefore, project management and scheduling using an efficient tool is a necessity. Resource constraint project scheduling (RCPSP) is one of the most widely used project planning issues. One of the most difficult non-polynomial problems is that innovative and meta-heuristic methods are more effective than exact solutions. The current study mainly aims to introduce a new meta-innovative algorithm with an imperialist competitive algorithm and genetic algorithm (ICA-GA). Next, by proposing a two-objective project scheduling problem, it is attempted to minimize the project execution time and its cost simultaneously with the proposed algorithm. Finally, to assess the validity of the ICA-GA hybrid algorithm, the famous MOPSO algorithm in solving the proposed model is utilized. The evaluated data is extracted from the PSPLIB standard library. The study’s results demonstrate that the imperialist-genetic competition algorithm is superior to the MOPSO algorithm and holds high efficiency in solving the proposed model.
목차
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. RESEARCH METHOD
4. RESULTS AND DISCUSSION
5. CONCLUSION
REFERENCES
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