Abstract
The fruits of bio-inspired approaches to optimisation include several techniques that are now commonly used in practice to address real-world problems. A common situation is as follows: an organisation has a regularly occurring problem to solve (typically a logistics problem), and they engage a research group or a consultancy to deliver an optimizer that can then be used as they regularly solve instances of that problem. The research group will then spend perhaps several months developing the optimizer, and this will almost always involve:
-
deciding to use a specific algorithm framework (e.g. tabu search or evolutionary search);
-
tuning an algorithm over many problem instances in the space of interest, towards getting the best results achievable in a given time (perhaps minutes).
Chapter PDF
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Corne, D. (2011). Unconventional Optimizer Development. In: Calude, C.S., Kari, J., Petre, I., Rozenberg, G. (eds) Unconventional Computation. UC 2011. Lecture Notes in Computer Science, vol 6714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21341-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-21341-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21340-3
Online ISBN: 978-3-642-21341-0
eBook Packages: Computer ScienceComputer Science (R0)