初期解をファジイ推論するGA/SAを用いたVLSIフロアプラン手法の精度向上

Material type: 文書・図像類

Author: 今井, 宏規ほか

Publisher: 愛知工業大学

Publication date: 2007-03-31

Material Format: Digital

Capacity, size, etc.: -

NDC: -

View All

Notes on use

Note (General)：: Rapid increase of the scale of integration requires higher knowledge and well trained skills of experienced design engineers. However it is usually di...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

AIT Associated Repository of Academic Resources
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
AIT Associated Repository of Academic Resources

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type: 文書・図像類
Title: 初期解をファジイ推論するGA/SAを用いたVLSIフロアプラン手法の精度向上
Author/Editor: 今井, 宏規
梅澤, 登志矢
江口, 一彦
Author Heading: 今井, 宏規
梅澤, 登志矢
江口, 一彦
Publication, Distribution, etc.: 愛知工業大学
Publication Date: 2007-03-31
Publication Date (W3CDTF): 2007-03-31
Alternative Title: ショキ　カイ　ヲ　ファジイ　スイロン　スル　ＧＡ/ＳＡ　ヲ　モチイタ　ＶＬＳＩ　フロアプラン　シュホウ　ノ　セイド　コウジョウ
Accuracy Improvement of VLSI Floorplanning　Based on Fuzzy Inference and GA/SA
Periodical title: 愛知工業大学研究報告. B, 専門関係論文集 = Bulletin of Aichi Institute of Technology. Part B
No. or year of volume/issue: 42
Volume: 42
Pages: 19-26
ISSN (Periodical Title): ISSN : 0387-0812
Text Language Code: jpn
Target Audience: 一般
Note (General): Rapid increase of the scale of integration requires higher knowledge and well trained skills of experienced design engineers. However it is usually difficult for novice engineers to perform optimized design of initial and macroscopic placement in floorplanning. This paper proposes to apply the soft computing technology mostly fuzzy inference and genetic algorithms to automate the floorplanning design which decides a macroscopic placement of the top layer of LSI physical implementation. ISPD98 benchmark data is used for evaluation. The relation among several parameters of fuzzy inference and genetic algorithms and placement cost is discussed. The relation between I/O pins and the cost is also discussed. Simulated annealing is employed after genetic algorithms to avoid local optimization.
identifier:http://repository.aitech.ac.jp/dspace/handle/11133/1319
Access Restrictions: 限定公開
Periodical Title (NCID): AA11564921
https://ci.nii.ac.jp/ncid/AA11564921
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 愛知工業大学 : 愛知工業大学学術情報リポジトリ