Ant Colony Optimization for Resource-Constrained Multi-Project Scheduling

Aiming at the task time sequence constraint and resource constraint multi-project scheduling problem, this paper bases on MMAS algorithm, adopts pseudorandom proportion to select rules in the process of constructing solutions, and then introduces TS algorithm with 2-opt strategy to further optimize each iterative results. Through presenting the example of project emulation, it indicates that the modified ant algorithm is feasible and has good optimizing function.