摘要：In this paper, the basic theory and procedure for working out solutions of ant colony genetic algorithm were first introduced; the optimization, constraints and objectives of construction project scheduling were described; then a basic model for optimization of construction project scheduling was established; and an improved ant colony genetic algorithm for solving the basic model was put forward. Performance of ant colony genetic algorithm was analyzed and evaluated from the aspect of schedule - cost equilibrium in practical engineering optimization. Finally, case studies were provided. With the rapid development of the present society, urban development increases the demand for construction projects in the process of urban construction, but the existing construction project scheduling is unable to meet the increasing needs of construction efficiency of urban development. So in this paper, a project scheduling optimization method with synergy of ant colony optimization genetic algorithm was proposed. The optimization method successfully integrated ant colony algorithm and genetic algorithm into construction project scheduling, and improved the construction project scheduling through reasonable optimization algorithm. Case analysis shows that the construction project scheduling optimization method based on ant colony optimization genetic algorithm greatly optimized the actual project cost of capital and greatly improved the scheduling efficiency.
