Neural network on two-dimensional IC layout compaction

L. Y. Wang; K. N. Chen; Y. T. Lai; B. D. Liu

doi:10.1049/el:19920824

Neural network on two-dimensional IC layout compaction

L. Y. Wang
, K. N. Chen
, Y. T. Lai
, B. D. Liu

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

A new method which uses a neural optimisation network to solve the two-dimensional (2-D) layout compaction problem is proposed. The problem is formulated as a mixed integer linear programming (MILP) problem with the value of each integer variable being 0 or 1. A special MILP neural optimisation network is used to attack the problem.

Original language	English
Pages (from-to)	1297-1298
Number of pages	2
Journal	Electronics Letters
Volume	28
Issue number	14
DOIs	https://doi.org/10.1049/el:19920824
Publication status	Published - 1992 Jul 2

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1049/el:19920824

Cite this

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title = "Neural network on two-dimensional IC layout compaction",

abstract = "A new method which uses a neural optimisation network to solve the two-dimensional (2-D) layout compaction problem is proposed. The problem is formulated as a mixed integer linear programming (MILP) problem with the value of each integer variable being 0 or 1. A special MILP neural optimisation network is used to attack the problem.",

author = "Wang, \{L. Y.\} and Chen, \{K. N.\} and Lai, \{Y. T.\} and Liu, \{B. D.\}",

year = "1992",

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AU - Wang, L. Y.

AU - Chen, K. N.

AU - Lai, Y. T.

AU - Liu, B. D.

PY - 1992/7/2

Y1 - 1992/7/2

N2 - A new method which uses a neural optimisation network to solve the two-dimensional (2-D) layout compaction problem is proposed. The problem is formulated as a mixed integer linear programming (MILP) problem with the value of each integer variable being 0 or 1. A special MILP neural optimisation network is used to attack the problem.

AB - A new method which uses a neural optimisation network to solve the two-dimensional (2-D) layout compaction problem is proposed. The problem is formulated as a mixed integer linear programming (MILP) problem with the value of each integer variable being 0 or 1. A special MILP neural optimisation network is used to attack the problem.

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U2 - 10.1049/el:19920824

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AN - SCOPUS:0027109190

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SP - 1297

EP - 1298

JO - Electronics Letters

JF - Electronics Letters

IS - 14

ER -

Neural network on two-dimensional IC layout compaction

Abstract

All Science Journal Classification (ASJC) codes

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