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In practice, organizations work in general on more than one project which share some or all the available resources. In this work hybrid heuristics that combine Random Sampling heuristics and Backward-Forward methods are developed for the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP). This heuristic approach has been successfully applied to resource-constrained single project scheduling when the objective to optimize is makespan. In this work, the mean project delay and the multi-project duration increase criteria are considered. The heuristics proposed includes several parameters which effect is analyzed through a wide computational study. The best configuration of these parameters is reported when considering both criteria.