Using meta-heuristics for project scheduling under mode identity constraints

► We proposed three meta-heuristic algorithms namely imperialist competitive algorithm, simulated annealing and differential evolution to solve mode identity RCPSP. ► In order to improve the quality of the employed algorithms a local search and learning module is combined with the meta-heuristic algorithms. ► The result showed the integration of the learning module and the employed evolutionary algorithms statistically have better performance regarding the objective function and/or convergence time.