Fuzzy aggregating functions for multiobjective VLSI placement

Junaid A. Khan; Sadiq M. Sait

doi:10.1109/FUZZ.2002.1006612

Fuzzy aggregating functions for multiobjective VLSI placement

Junaid A. Khan
, Sadiq M. Sait

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

9 Scopus citations

Abstract

When fuzzy logic is used with multiobjective optimization, min/max operators may not be desirable. This is primarily due to lack of compensation/submission of min/max. To overcome this, Ordered Weighted Averaging(OWA) operators were proposed by Yager. OWA requires the selection of a control parameter β, which is different for different problem instances. In this work we propose new fuzzy aggregating functions that simulate the fuzzy AND/OR logic, and have the advantages of OWA without a need of any control parameter. Comparison with OWA for the VLSI cell placement using Simulated Evolution produced encouraging results.

Original language	English
Article number	4
Pages (from-to)	831-836
Number of pages	6
Journal	IEEE International Conference on Plasma Science
Volume	2
DOIs	https://doi.org/10.1109/FUZZ.2002.1006612
State	Published - 2002

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1109/FUZZ.2002.1006612

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abstract = "When fuzzy logic is used with multiobjective optimization, min/max operators may not be desirable. This is primarily due to lack of compensation/submission of min/max. To overcome this, Ordered Weighted Averaging(OWA) operators were proposed by Yager. OWA requires the selection of a control parameter β, which is different for different problem instances. In this work we propose new fuzzy aggregating functions that simulate the fuzzy AND/OR logic, and have the advantages of OWA without a need of any control parameter. Comparison with OWA for the VLSI cell placement using Simulated Evolution produced encouraging results.",

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AU - Sait, Sadiq M.

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AB - When fuzzy logic is used with multiobjective optimization, min/max operators may not be desirable. This is primarily due to lack of compensation/submission of min/max. To overcome this, Ordered Weighted Averaging(OWA) operators were proposed by Yager. OWA requires the selection of a control parameter β, which is different for different problem instances. In this work we propose new fuzzy aggregating functions that simulate the fuzzy AND/OR logic, and have the advantages of OWA without a need of any control parameter. Comparison with OWA for the VLSI cell placement using Simulated Evolution produced encouraging results.

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M3 - Article

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JO - IEEE International Conference on Plasma Science

JF - IEEE International Conference on Plasma Science

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Fuzzy aggregating functions for multiobjective VLSI placement

Abstract

ASJC Scopus subject areas

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