Abstract
The computer constructed local search heuristic function for a SAT problem can run and solve SAT faster than human designed heuristics. The idea behind this was to start with some predefined primitives chosen in accordance with a human observation and to combine them using genetic programming. This leads to a question whether it is possible to construct an effective heuristic function solely by a computer, a function constructed from very elementary program building blocks not only from predefined higher-level primitives.
Supported by the Czech Science Foundation under the contract 201/04/1102.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cejnar, P., Barták, R. (2005). Automated Search for Heuristic Functions. In: van Beek, P. (eds) Principles and Practice of Constraint Programming - CP 2005. CP 2005. Lecture Notes in Computer Science, vol 3709. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564751_81
Download citation
DOI: https://doi.org/10.1007/11564751_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29238-8
Online ISBN: 978-3-540-32050-0
eBook Packages: Computer ScienceComputer Science (R0)