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The multi-objective management in engineering projects is to reduce cost, improve quality and shorten the cycle. The optimization of these three objects is very significant to improve the comprehensive benefit of projects. In this paper, project quality is quantified by the cost of quality (COQ), and a mathematic model of quality-schedule-cost multi-objective balanced optimization is proposed, which can be solved by Genetic Algorithm (GA). Considering different construction requirements in engineering practice, three objectives are given weights to make decision-making more coherent and responsive in project management. Finally, applicability and efficiency of this method are verified by an example study.

The balanced optimization of the project quality schedule and cost based on Genetic Algorithm