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We consider the NP-hard problem of minimizing makespan for n jobs on m unrelated parallel machines with release dates in this research. A heuristic and a very effective particle swarm optimization (PSO) algorithm have been proposed to tackle the problem. Two lower bounds have been proposed to serve as a basis for comparison for large problem instances. Computational results show that the proposed PSO is very accurate and that it outperforms the existing metaheuristic.

Particle Swarm Optimization Algorithm for Unrelated Parallel Machine Scheduling with Release Dates