Measuring parallel processor performance
Communications of the ACM
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Parallelization of the scatter search for the p-median problem
Parallel Computing - Special issue: Parallel computing in logistics
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
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Workforce planning is an important activity that enables organizations to determine the workforce needed for continued success. A workforce planning problem is a very complex task that requires modern techniques to be solved adequately. In this work, we describe the development of two parallel metaheuristic methods, a parallel genetic algorithm and a parallel scatter search, which can find high-quality solutions to 20 different problem instances. Our experiments show that parallel versions do not only allow to reduce the execution time but they also improve the solution quality.