PCB layout design using a genetic algorithm

Sakait Jain, Hae Chang Gea

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

This paper presents an approach to find the optimal design layout of chips on a circuit board in a manner that minimizes the area covered on the board and the connections between the various chips. In addition, there are no major heat sources next to each other and certain physical constraints are satisfied while finding a layout design. In this approach, the whole circuit board area is divided into a finite number of cells for mapping it into a genetic algorithm chromosome. The mutation and crossover operators have been modified and are applied in conjunction with connectivity analysis for the chips to reduce the creation of a lot of faulty generations. Examples of GA based chip layout are presented to show how each of the objectives are attained separately followed by examples to arrive at layouts using multiple objectives.

Original languageEnglish (US)
Title of host publication21st Annual Design Automation Conference
Pages529-536
Number of pages8
Edition1
StatePublished - 1995
EventProceedings of the 1995 ASME Design Engineering Technical Conference - Boston, MA, USA
Duration: Sep 17 1995Sep 20 1995

Publication series

NameAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
Number1
Volume82

Other

OtherProceedings of the 1995 ASME Design Engineering Technical Conference
CityBoston, MA, USA
Period9/17/959/20/95

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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