One of the essential features of project management is the novelty of work and uncertainty in the estimation of activities which will, in turn, result in uncertainty in project scheduling. In this study, a multi-objective multi-skill project scheduling problem is examined in terms of fuzzy time with two main objectives including: minimizing the project's makespan and minimizing the total cost of labor allocation. Besides, a Multi-Objective Imperialist Competitive Algorithm (MOICA) is adopted to solve the problem. In order to evaluate the performance of the algorithm, the suggested algorithm is compared with the Non-d ominated Solutions Genetic Algorithm (NSGA-II) based on three indicators. Apart from these, the parameters were optimized using the Taguchi algorithm in order to optimize the performance of the proposed algorithm. The results indicate the good performance of the MOICA.

项目管理的基本特征之一是工作的新颖性和活动估计的不确定性，这又将导致项目进度的不确定性。在这项研究中，从模糊时间的角度研究了一个多目标，多技能的项目计划问题，其主要目标包括两个：最小化项目的工期和最小化劳力分配的总成本。此外，采用了多目标帝国主义竞争算法（MOICA）来解决该问题。为了评估该算法的性能，将所提出的算法与基于三个指标的非限定解遗传算法（NSGA-II）进行了比较。除此之外，使用Taguchi算法对参数进行了优化，以优化所提出算法的性能。