Abstract
In this paper, a multi-mode bi-objective resource investment problem in which the first objective function tries to minimize the completion time of the project and the second one tries to minimize the total resource costs is considered. Due to problem complexity, two modified meta-heuristic algorithms namely NSGA-II and MOPSO are applied to solve the model. To compare the algorithms, a set of test problem is considered. Furthermore, a MADM approach called TOPSIS is applied to compare the algorithms' results. To compare the algorithms' performance, six well-known metrics, as well as the graphical comparison are considered. Finally, the computational results declare that NSGA-II has better performance regarding the performance metrics.
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