Fuzzy set based initial placement for IC layout

Authors:
M Razaz;J Gan
Affiliations:
University of East Anglia, Norwich, UK;University of East Anglia, Norwich, UK
Venue:
EURO-DAC '90 Proceedings of the conference on European design automation
Year:
1990

Citing 2
Cited 5

Fuzzy set theory—and its applications (3rd ed.)

Fuzzy set theory—and its applications (3rd ed.)
Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms

Fuzzy logic approach to placement problem

DAC '92 Proceedings of the 29th ACM/IEEE Design Automation Conference
ICOS: an intelligent concurrent object-oriented synthesis methodology for multiprocessor systems

ACM Transactions on Design Automation of Electronic Systems (TODAES)
POSE: a parallel object-oriented synthesis environment

ACM Transactions on Design Automation of Electronic Systems (TODAES)
A Fuzzy Partitioning System

IEEE Micro
Fuzzy simulated evolution algorithm for VLSI cell placement

Computers and Industrial Engineering - Special issue: Focussed issue on applied meta-heuristics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Three novel fuzzy algorithms for constructing initial placement of integrated circuits are introduced. These algorithms are based on the use of fuzzy set theory and show superior performance to conventional placement algorithms. One of these algorithms, namely the fuzzy clustering method, has inherent potential for placement of large and very large scale integrated circuits due to its comparative efficiency, flexibility and hierachical structure. Placement examples for all three algorithms are presented and comparedwith conventional approaches.