Ant colony algorithm for evolutionary design of arithmetic circuits

Author

Abd-El-Barr, Mostafa ; Sait, S.M. ; Sarif, Bambsng A B

fYear

2003

fDate

9-11 Dec. 2003

Firstpage

198

Lastpage

201

Abstract

Evolutionary computation is a new field of research in which hardware design is pursued by deriving inspiration from biological organisms. This new paradigm is expected to radically change the synthesis procedures in a way that allows discovering novel designs and/or more efficient circuits. In this paper, a multi objective optimization strategy for design of arithmetic circuits based on Ant Colony optimization algorithm is presented. Results are compared with those obtained using other techniques.

Keywords

circuit optimisation; digital arithmetic; evolutionary computation; fuzzy logic; logic design; Ant Colony optimization algorithm; arithmetic circuit design; biological organisms; evolutionary computation; hardware design; multi objective optimization strategy; Algorithm design and analysis; Ant colony optimization; Arithmetic; Assembly; Biology computing; Design optimization; Digital circuits; Hardware; Logic design; Senior members;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics, 2003. ICM 2003. Proceedings of the 15th International Conference on

Print_ISBN

977-05-2010-1

Type

conf

DOI

10.1109/ICM.2003.1287767

Filename

1287767

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=408453