Abstract
In any manufacturing system, an effective production planning and scheduling programme is always desirable. Such a scheme involves the power to solve several mathematical intangible equations. Ad hoc solutions may be obtained but often fail to address various involved issues.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag London
About this chapter
Cite this chapter
Man, K.F., Tang, K.S., Kwong, S. (1999). Genetic Algorithms in Production Planning and Scheduling Problems. In: Genetic Algorithms. Advanced Textbooks in Control and Signal Processing. Springer, London. https://doi.org/10.1007/978-1-4471-0577-0_9
Download citation
DOI: https://doi.org/10.1007/978-1-4471-0577-0_9
Publisher Name: Springer, London
Print ISBN: 978-1-85233-072-9
Online ISBN: 978-1-4471-0577-0
eBook Packages: Springer Book Archive