Computer Science – Artificial Intelligence
Scientific paper
2011-07-21
GECCO'09, Montreal : Canada (2009)
Computer Science
Artificial Intelligence
Scientific paper
10.1145/1569901.1570023
In this paper, we study the exploration / exploitation trade-off in cellular genetic algorithms. We define a new selection scheme, the centric selection, which is tunable and allows controlling the selective pressure with a single parameter. The equilibrium model is used to study the influence of the centric selection on the selective pressure and a new model which takes into account problem dependent statistics and selective pressure in order to deal with the exploration / exploitation trade-off is proposed: the punctuated equilibria model. Performances on the quadratic assignment problem and NK-Landscapes put in evidence an optimal exploration / exploitation trade-off on both of the classes of problems. The punctuated equilibria model is used to explain these results.
Clergue Manuel
Collard Philippe
Simoncini David
Verel Sébastien
No associations
LandOfFree
Centric selection: a way to tune the exploration/exploitation trade-off does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Centric selection: a way to tune the exploration/exploitation trade-off, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Centric selection: a way to tune the exploration/exploitation trade-off will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-687463