Fuzzy aggregating functions for multiobjective VLSI placement

Author

Khan, Junaid A. ; Sait, Sadiq M.

Author_Institution

Dept. of Comput. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

831

Lastpage

836

Abstract

When fuzzy logic is used with multi-objective optimization, min/max operators may not be desirable. This is primarily due to the lack of compensation/submission of min/max. To overcome this, ordered weighted averaging (OWA) operators were proposed by R.R. Yager (1988). OWA requires the selection of a control parameter β, which is different for different problem instances. In this paper, we propose new fuzzy aggregating functions that simulate the fuzzy AND/OR logic and that have the advantages of OWA without the need of any control parameter. A comparison with OWA for VLSI cell placement using simulated evolution produced encouraging results

Keywords

VLSI; circuit layout CAD; circuit optimisation; evolutionary computation; functions; fuzzy logic; integrated circuit layout; mathematical operators; compensation; control parameter; fuzzy AND/OR logic; fuzzy aggregating functions; min/max operators; multi-objective VLSI cell placement; ordered weighted averaging operators; simulated evolution; submission; Equations; Fuzzy control; Fuzzy logic; Fuzzy sets; Minerals; Open wireless architecture; Petroleum; Vehicles; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1006612

Filename

1006612