Title :
Designing a Parallel GA for Large Instances of the Workforce Planning Problem
Author :
Alba, Enrique ; Luque, Gabriel
Author_Institution :
Univ. of Malaga, Malaga
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;
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
DOI :
10.1109/ISDA.2007.103
