Co-evolutionary approach to the manpower planning problem
Date
2011-02-25
Authors
Jacquier, Robert Michael
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Abstract
Abstract. This dissertation will investigate a realistically sized manpower
planning problem. To perform the analysis, an appropriate model will be pre-
sented to solve a speci c type of manpower problem. It allows for recruitment,
dismissal, training of workers to di erent types, and multi{skilled workers. The
training is enforced in the model through time delay. The model also includes
consistency, demand and bound constraints that the solutions must satisfy.
The solution of the model will then be investigated using a novel approach,
the competitive co{evolutionary algorithm. The algorithm generates solutions
in the same way a genetic algorithm does, and implements a predator{prey
procedure to ensure satisfaction of the constraints. A numerical example will
then be solved to illustrate the usefulness of the co{evolutionary algorithm
when applied to this type of manpower problem.