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Parallel Genetic Algorithm for the Workforce Planning Problem

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Parallel Genetic Algorithms

Part of the book series: Studies in Computational Intelligence ((SCI,volume 367))

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Abstract

Decision making associated with workforce planning results in difficult optimization problems, this is so it involves multiple levels of complexity. In fact, the workforce planning problem that we tackle in this chapter consists of two sets of decisions: selection and assignment. The first step selects a small set of employees from a large number of available workers and the second (decision) assigns this staff to the tasks to be performed. The objective is to minimize the costs associated to the human resources needed to fulfill the work requirements. An effective workforce plan is an essential tool to identify appropriate workload staffing levels and justify budget allocations so that organizations can meet their objectives.

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© 2011 Springer-Verlag Berlin Heidelberg

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Luque, G., Alba, E. (2011). Parallel Genetic Algorithm for the Workforce Planning Problem. In: Parallel Genetic Algorithms. Studies in Computational Intelligence, vol 367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22084-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-22084-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22083-8

  • Online ISBN: 978-3-642-22084-5

  • eBook Packages: EngineeringEngineering (R0)

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