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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
이용수
초록· 키워드
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.
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목차
- ABSTRACT
- 1. INTRODUCTION
- 2. LITERATURE REVIEW
- 3. RESEARCH METHOD
- 4. RESULTS AND DISCUSSION
- 5. CONCLUSION
- REFERENCES
참고문헌
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UCI(KEPA) : I410-ECN-0101-2023-530-000104580
