z-logo
open-access-imgOpen Access
Generating Boolean SAT based Test Pattern Generation using Multi-objective Genetic Algorithm
Author(s) -
Ms. Sangeeta,
Vinay Chopra,
Harminder Pal Singh Dhami
Publication year - 2010
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/1099-1438
Subject(s) - computer science , test (biology) , genetic algorithm , algorithm , artificial intelligence , machine learning , paleontology , biology
This paper presents a brief introduction to multi-objective genetic algorithms and FPGAs[5][9]. In this paper we have discussed that how test pattern generation method can be formulated in terms of CNF form [2]and this CNF form can be used to generate test patterns using genetic algorithm. We have proposed that by applying a multi-objective genetic algorithm on this CNF form we can increase number of instances to satisfy boolean equation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom