基于MCCAA的工期成本质量的多目标优化分析

工期、成本、质量是工程建设项目的三大控制目标，然而这“三大目标”既对立又统一，为了同时达到三个目标的优化，本文构建合理的目标模型，并且针对传统蚁群算法容易出现早熟和停滞现象的缺陷,提出了一种改进的协同进化蚁群算法，在必要路段使各目标的信息素信息进行杂交变异，优化路径上的信息素分布，并运用改进的多种群蚁群协同算法实现算例的多目标优化应用。

Multi-objective optimization analysis of time-cost-quality based on MCCAA

The duration, cost, and quality are the three objectives of the construction project to control. However, the three main objectives are not only consistent but also opposite. In order to achieve the optimization of the three objectives, this paper constructs a reasonable target model. Furthermore, to overcome the default of precocity and stagnation in classical ant colony algorithm, an modified co-evolution ant colony algorithm is presented, the pheromone information of which is conducted hybridization and variation in the necessary sections to optimize the pheromone distribution of path. Finally the mentioned model and algorithm are applied to solve an example of multi-objective optimization.