An adaptive parallel genetic algorithm for VLSI-layout optimization
Autor(en): | Schnecke, V. Vornberger, O. |
Herausgeber: | Voigt, H.-M. Rechenberg, I. Schwefel, H.-P. Ebeling, W. |
Stichwörter: | Algorithms; Combinatorial optimization; Evolutionary algorithms; Genetic algorithms; Integrated circuit layout; Optimization, Characteristical parameters; Combinatorial optimization problems; Fixed intervals; High quality; Parallel genetic algorithms; Placement and routing; Search process; Self adaptation, Problem solving | Erscheinungsdatum: | 1996 | Herausgeber: | Springer Verlag | Enthalten in: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Band: | 1141 | Startseite: | 559 | Seitenende: | 868 | Zusammenfassung: | The generation of a high quality layout during the design of a VLSI microchip is a very complex combinatorial optimization problem. Components of a circuit have to be placed, and signal nets have to be routed on an overall minimal area. In this paper a parallel Genetic Algorithm for the combined optimization of placement and routing is presented. The main focus is on the self-adaptation of the search process: Several islands execute a sequential GA with different strategies. At fixed intervals these strategies are ranked and each strategy is adjusted to the next better one by assimilating its characteristical parameters. © 1996, Springer-Verlag. All rights reserved. |
Beschreibung: | Conference of International Conference on Evolutionary Computation - 4th International Conference on Parallel Problem Solving from Nature, PPSN 1996 ; Conference Date: 22 September 1996 Through 26 September 1996; Conference Code:125329 |
ISBN: | 9783540617235 | ISSN: | 03029743 | DOI: | 10.1007/3-540-61723-X_1049 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958969432&doi=10.1007%2f3-540-61723-X_1049&partnerID=40&md5=56c88b4b612f4dcbe12ffa72ac5d6e8f |
Zur Langanzeige
Seitenaufrufe
3
Letzte Woche
0
0
Letzter Monat
1
1
geprüft am 07.06.2024