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

Abstract EN

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.