Placement optimization using behavior based software agents and the genetic algorithm

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...

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Hauptverfasser:	de Abreu Moreira, D., Walczowski, L.T.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adders Circuits Communication system control Flip-flops Genetic algorithms Laboratories Multiplexing Software agents Very large scale integration
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container_end_page	258 vol.1
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creator	de Abreu Moreira, D. Walczowski, L.T.
description	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.
doi_str_mv	10.1109/ICECS.1996.582791
format	Conference Proceeding
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identifier	ISBN: 9780780336506
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Adders Circuits Communication system control Flip-flops Genetic algorithms Laboratories Multiplexing Software agents Very large scale integration
title	Placement optimization using behavior based software agents and the genetic algorithm
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