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Placement optimization using behavior based software agents and the genetic algorithm

Moreira, D., Walczowski, Les T. (1996) Placement optimization using behavior based software agents and the genetic algorithm. In: Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on (Volume:1 ). Proceedings of 1996 IEEE International Conference on Electronics, Circuits, and Systems. 1. pp. 255-258. (doi:10.1109/ICECS.1996.582791) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:50044)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/ICECS.1996.582791

Abstract

Agents are defined as software components that communicate with their peers by exchanging messages in a communication language. They are used in the placer server of the Agents system, a distributed, client-server system that generates mask level layout of full custom VLSI leaf cells. The system is formed from four server programs: the Placer, Router, Database and Broker. This paper describes the placer server which uses groups of these small software agents and the genetic algorithm to place optimally the components of a leaf cell

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/ICECS.1996.582791
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 06 Aug 2015 09:50 UTC
Last Modified: 16 Nov 2021 10:20 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/50044 (The current URI for this page, for reference purposes)

University of Kent Author Information

Walczowski, Les T..

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