Optimization of MPRM functions using tabular techniques and genetic algorithms.

Al-Jassani, ban Adil, Urquhart, Neil B and Almaini, A E A (2008) Optimization of MPRM functions using tabular techniques and genetic algorithms. The Mediterranean Journal of Electronics and Communications, 4 (4). pp. 115-125. ISSN 1744-2400

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This paper presents new techniques and algorithms to compute and optimize Mixed Polarity Reed Muller logic functions (MPRM) using Tabular techniques and Genetic Algorithms (GA). The first algorithm is used for bidirectional conversion between Fixed Polarity Reed Muller forms (FPRM) and MPRM and to derive any mixed polarity from another MPRM for any number of variables. The second algorithm is used to generate reduced MPRM expressions from FPRM for any number of variables based on tabular techniques. The last two algorithms are to find optimal MPRM among 3n different polarities using GA for large functions but without generating all the polarity sets for single and multi output sum-of-products (SOP) Boolean functions. All algorithms are implemented in C++ and fully tested using standard benchmark examples.

Item Type: Article
Print ISSN: 1744-2400
Uncontrolled Keywords: Genetic Algorithm; Tabular Technique; MPRM; FPRM; Optimization;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 500 Science > 510 Mathematics > 519 Probabilities & applied mathematics
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 3499
Depositing User: Computing Research
Date Deposited: 15 Jan 2010 15:22
Last Modified: 07 Jan 2016 16:17

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