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conference paper
Optimizing Variable Ordering of BDDs with Double Hybridized Embryonic Genetic Algorithm.
Brudaru, Octav
•
Ebendt, Rüdiger
•
Furdu, Iulian
2010
2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
This paper presents a new double hybridized genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The first hybridization adopts embryonic chromosomes as prefixes of variable orders instead of complete variable orders and combines a branch & bound technique with the basic genetic algorithm. The second hybridization is done with the existing sifting algorithm, known as one of the most effective heuristic for this problem, which is incorporated as a hypermutation operator.
Type
conference paper
Authors
Brudaru, Octav
•
Ebendt, Rüdiger
•
Furdu, Iulian
Publication date
2010
Published in
2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Start page
167
End page
173
Subjects
Peer reviewed
REVIEWED
EPFL units
NEARCTIS
Event name | Event place | Event date |
Timisoara, Romania | 23.-26. Sept. 2010 | |
Available on Infoscience
November 18, 2010
Use this identifier to reference this record