Name
Abstract | ||
|---|---|---|
This paper addresses a Very Large Scale Integrated (VLSI) design problem that belongs to the NP-hard class. The Gate Matrix Layout problem has strong applications on the chip-manufacturing industry. A Memetic Algorithm is employed to solve a set of benchmark instances, present in previous works in the literature. Beyond the results found for these instances, another goal of this paper is to study how the use of multiple populations and different migration strategies affects the algorithm's performance. This comparison has shown to be fruitful, sometimes producing a strong performance improvement over single population approaches. |
Year | Venue | Keywords |
|---|---|---|
2002 | IBERAMIA | benchmark instance,np-hard class,memetic algorithm,population studies,strong application,gate matrix layout problem,design problem,large scale integrated,chip-manufacturing industry,strong performance improvement,different migration strategy,manufacturing industry,population study,vlsi design,chip |
Field | DocType | Volume |
Memetic algorithm,Population,Very large scale integrated,Evolutionary algorithm,Matrix (mathematics),Computer science,Theoretical computer science,Artificial intelligence,Very-large-scale integration,Performance improvement,Distributed computing | Conference | 2527 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-00131-X | 1 |
PageRank | References | Authors |
0.35 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandre Mendes | 1 | 163 | 18.23 |
| Paulo França | 2 | 11 | 1.45 |
| Pablo Moscato | 3 | 334 | 37.27 |
| Vinícius Garcia | 4 | 15 | 2.23 |