Abstract
This paper describes a Genetic Algorithm approach to solve a task scheduling problem at a small size manufacturing company. The operational solution must fulfill two basic requirements: low cost and usability. The proposal was implemented and results obtained with the system lead to better results compared to previous and non-computerized solutions. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Contreras, A. R., Valero, C. V., & Pinninghoff, J. M. A. (2005). Applying genetic algorithms for production scheduling and resource allocation. Special case: A small size manufacturing company. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 547–550). Springer Verlag. https://doi.org/10.1007/11504894_74
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