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Parallel Metaheuristics for Workforce Planning

Parallel Metaheuristics for Workforce Planning,10.1007/s10852-007-9058-5,Journal of Mathematical Modelling and Algorithms,Enrique Alba,Gabriel Luque,F

Parallel Metaheuristics for Workforce Planning   (Citations: 1)
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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 requiring modern techniques to be solved adequately. In this work, we describe the development of three parallel metaheuristic methods, a parallel genetic algorithm, a parallel scatter search, and a parallel hybrid genetic algorithm, 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.
Journal: Journal of Mathematical Modelling and Algorithms - JMMA , vol. 6, no. 3, pp. 509-528, 2007
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