Open AccessA Symbiotic Evolutionary Design of Error‐Correcting Code with Minimal Power Consumption
Author(s) -
Lee Heesung,
Kim Euntai
Publication year - 2008
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.08.0108.0188
Subject(s) - power consumption , computer science , error detection and correction , code (set theory) , power (physics) , selection (genetic algorithm) , genetic algorithm , algorithm , artificial intelligence , machine learning , physics , set (abstract data type) , quantum mechanics , programming language
In this paper, a new design for an error correcting code (ECC) is proposed. The design is aimed to build an ECC circuitry with minimal power consumption. The genetic algorithm equipped with the symbiotic mechanism is used to design a power‐efficient ECC which provides single‐error correction and double‐error detection (SEC‐DED). We formulate the selection of the parity check matrix into a collection of individual and specialized optimization problems and propose a symbiotic evolution method to search for an ECC with minimal power consumption. Finally, we conduct simulations to demonstrate the effectiveness of the proposed method.