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The Investigation of Practical Application of Minimizing the Completion Time of Projects Using Optimization Algorithm Method

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Abstract (2. Language): 
Scheduling of a project is defined as determining time sequence in order to do a series of correlated activities that form a project. Minimizing is the completion time of project so that resource and priority constrains were satisfied. The main goal of research is to investigate the practical application of minimizing the completion time of project using optimization algorithm. For solving this problem a new algorithm of anarchic society optimization (ASO) has been designed. ASO just like other Meta-heuristic algorithms gives better results than methods based on priority rules. It is because of the nature of Meta-heuristic algorithms and these algorithms usually use the information related achieved responses in order to produce later responses, while the methods based on priority rules create any response independently. It should be emphasized that using a Meta-heuristic method alone, doesn't guarantee reaching optimal response. In this study, we use Taguchi methods for setting up the parameters of algorithm and implementing this algorithm on basis shows its efficiency in comparison to other existing algorithms.
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REFERENCES

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International Journal of Science and Engineering Investigations, Volume 6, Issue 71, December 2017 89
www.IJSEI.com Paper ID: 67117-12
ISSN: 2251-8843
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