Research on multi-objective optimization of Construction Project based on Ant Colony Algorithm

摘要

Time, cost, quality are three main objectives of project schedule control and the key to project management. The three objectives themselves which are contradictory restrict each other. Ant colony algorithm has been applied to solve time-cost optimization problems in network planning project. It has achieved some success in a time-cost research from discrete relationship to continuous relationship. There is not too much study on an important factor-project quality because it is difficult to quantify in the network planning optimization. This paper, firstly establishes a time-cost-quality three-dimensional multi-objective optimization mathematical model on the basis of quantitative quality, and solves it by using improved time-cost optimization ant colony optimization algorithm model. With the combination of the methods of the improved adaptive weights (MAWA), ant colony algorithm could find the optimal solution set. The Pareto solution set obtained through the case and compared with that of genetic algorithm, it demonstrates that the ant colony algorithm in the project time-cost-quality optimization is very. applicable.