Abstract
The coordination among multiple objectives of engineering projects is essential in project management, directly influencing the achievement of goals of cost, schedule and quality. Nowadays, engineering projects are becoming huge in investment scale, long in period and filled with risks, having stricter requirements in the management of coordination among multiple objectives. Therefore, analysing and optimizing multiple objectives of engineering projects is the basis of realizing the balance of the objectives. Considering comprehensively the risk factors and the dynamic of the environment, we can make the optimization more consistent with the actual situation and providing theoretical basis to the practical management. This paper focused on the multi-objective optimization of engineering projects, based upon traditional theories of multi-objective optimization, using Fuzzy Set Theory, Dynamic Optimization Theory, showing the impact of risk factors and dynamic environmental factors, and built a common model considering risk factors and dynamic environmental factors. Combining with the common model, a dynamic fuzzy multi-objective optimization model of engineering projects considering risk factors is built. A kind of Particle Swarm Optimization algorithm is selected to solve the model. An example is showed in this paper, which verified the feasibility and reasonability of the model built by this paper.
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Acknowledgements
We appreciate the financial support of the National Natural Science Foundation of China (Grant No. 71172148 and No. 71231006).
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Ding, R.X., Wang, X.Q., Han, T.T., Li, M.X., Xia, N.N. (2018). Research on Dynamic Fuzzy Multi-objective Optimization of Engineering Projects Considering Risk Factors. In: Chau, K., Chan, I., Lu, W., Webster, C. (eds) Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. Springer, Singapore. https://doi.org/10.1007/978-981-10-6190-5_105
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DOI: https://doi.org/10.1007/978-981-10-6190-5_105
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