loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
17th International Conference on VLSI Design
Ant Colony Optimization Technique for Macrocell Overlap Removal
Mumbai, India
January 05-January 09
ISBN: 0-7695-2072-3
Stelian Alupoaei, University of South Florida
Srinivas Katkoori, University of South Florida
We present a novel macrocell overlap removal algorithm, based on the ant colony optimization (ACO) metaheuristic. The algorithm generates a feasible placement from a relative placement with overlaps produced by some placement algorithms such as quadratic programming and force-directed. It uses the concept of ant colonies, a set of agents that work together to improve an existing solution. Each ant in the colony will generate a placement based on the relative positions of the cells and feedback information about the best placements generated by previous colonies. The solution of each ant is improved by using a local optimization procedure.
Citation:
Stelian Alupoaei, Srinivas Katkoori, "Ant Colony Optimization Technique for Macrocell Overlap Removal," vlsid, pp.963, 17th International Conference on VLSI Design, 2004
Usage of this product signifies your acceptance of the Terms of Use.