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| Clonal Selection Optimization for Multi-Mode Resource Constrained Project Scheduling Problem |
| PAN Xiao-Ying, LIU Fang, JIAO Li-Cheng |
| Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Institute of Intelligent Information Processing, Xidian University, Xi'an 710071 |
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Abstract Based on the analysis of the characteristics of project optimization scheduling, a clonal selection algorithm for multi-mode resource constrained project scheduling problem (CSA-MRCPSP) is proposed. It is used to obtain the optimal scheduling sequences so that the duration of the project is minimized. Some strategies are adopted such as schedule encoding, semi-random initialization, and restricted mutation operator. CSA-MRCPSP synthesizes the characteristics of project scheduling global search, diversity, and no prone to premature in immune clonal selection. Thus the cost is reduced with the optimal solution being found. The experimental results on PSPLEB show CSA-MRCPSP has good performance and it can find optimal solution in reasonable time for most instances. Furthermore, compared with other heuristic methods, CSA-MRCPSP also has some advantages, including higher optimal proportion and lower average deviation.
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Received: 19 November 2007
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2008, Vol. 21 
