Hybrid evolutionary algorithm of planning VLSI
Joint Authors
Source
Issue
Vol. 9, Issue 3 (30 Sep. 2014), pp.36-54, 19 p.
Publisher
University of Thi-Qar Research and Development Department
Publication Date
2014-09-30
Country of Publication
Iraq
No. of Pages
19
Main Subjects
Information Technology and Computer Science
Topics
- Algorithms
- Integrated circuits
- Computer software
- Neural networks(Computer science)
- Self
- Adaptive control systems
Abstract EN
Hybrid evolutionary algorithm and technique of planning VLSI are described.
Process of slicing floorplan synthesis is broken into two connected stages- synthesis of the slicing tree structure and floorplan formation by aggregation method.
During genetic search the decisions specifying structure of slicing tree are exposed to evolutionary changes.
On each step of genetic search the plan is under construction by application to this decision of aggregation procedure constructed on the basis of mechanisms of collective alternative adaptation.
Two approaches to reduction of total area of plan are used in work.
At the first approach the sizes of modules are fixed.
It is possible to change modules orientation.
At the second approach the sizes of modules can change according to restrictions.
The linear estimation of time complexity of decoding procedure, and also structure, at which chromosomes and the genes located in the same loci, are homologous, simplifies genetic operators performance procedures and the genetic search organization.Experimental research has shown that algorithms at teamwork within the framework of the common approach give high quality.
American Psychological Association (APA)
Lebedev, V. B.& Samoylov, A. N.. 2014. Hybrid evolutionary algorithm of planning VLSI. University of Thi-Qar Journal،Vol. 9, no. 3, pp.36-54.
https://search.emarefa.net/detail/BIM-657265
Modern Language Association (MLA)
Lebedev, V. B.& Samoylov, A. N.. Hybrid evolutionary algorithm of planning VLSI. University of Thi-Qar Journal Vol. 9, no. 3 (Sep. 2014), pp.36-54.
https://search.emarefa.net/detail/BIM-657265
American Medical Association (AMA)
Lebedev, V. B.& Samoylov, A. N.. Hybrid evolutionary algorithm of planning VLSI. University of Thi-Qar Journal. 2014. Vol. 9, no. 3, pp.36-54.
https://search.emarefa.net/detail/BIM-657265
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 53-54
Record ID
BIM-657265