DocumentCode
2230647
Title
Designing a Parallel GA for Large Instances of the Workforce Planning Problem
Author
Alba, Enrique ; Luque, Gabriel
Author_Institution
Univ. of Malaga, Malaga
fYear
2007
fDate
20-24 Oct. 2007
Firstpage
823
Lastpage
830
Abstract
Workforce planning is an important activity that enables organizations to determine the workforce needed for a given task. Solving a workforce planning problem is a hard combinatorial process requiring modern techniques such advanced metaheuristics. In this work, we analyze several options to design a parallel genetic algorithm, which can find high-quality solutions to realistic size problem instances.
Keywords
genetic algorithms; planning; team working; advanced metaheuristics; combinatorial process; parallel genetic algorithm; workforce planning; Algorithm design and analysis; Availability; Computational intelligence; Concurrent computing; Cost function; Decision making; Genetic algorithms; Humans; Intelligent systems; Process planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location
Rio de Janeiro
Print_ISBN
978-0-7695-2976-9
Type
conf
DOI
10.1109/ISDA.2007.103
Filename
4389710
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