Hybrid genetic‐paired‐permutation algorithm for improved VLSI placement

Hybrid genetic‐paired‐permutation algorithm for improved VLSI placement

This paper addresses Very large‐scale integration (VLSI) placement optimization, which is important because of the rapid development of VLSI design technologies. The goal of this study is to develop a hybrid algorithm for VLSI placement. The proposed algorithm includes a sequential combination of a...

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Bibliographic Details
Main Authors: Vladimir V. Ignatyev, Andrey V. Kovalev, Oleg B. Spiridonov, Viktor M. Kureychik, Alexandra S. Ignatyeva, Irina B. Safronenkova
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2020-07-01
Series:ETRI Journal
Subjects:
evolutionary algorithm
genetic algorithm
multi‐objective optimization
vlsi design
vlsi placement
Online Access:https://doi.org/10.4218/etrij.2019-0412

Internet

https://doi.org/10.4218/etrij.2019-0412

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