Parallel Multi-Objective Evolutionary Design of Approximate Circuits

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116965" target="_blank" >RIV/00216305:26230/15:PU116965 - isvavai.cz</a>

Result on the web

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10815" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10815</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/2739480.2754785" target="_blank" >10.1145/2739480.2754785</a>

Result language

angličtina

Original language name

Parallel Multi-Objective Evolutionary Design of Approximate Circuits

Original language description

Evolutionary design of digital circuits has been well established in recent years. Besides correct functionality, the demands placed on current circuits include the area of the circuit and its power consumption. By relaxing the functionality requirement, one can obtain more efficient circuits in terms of the area or power consumption at the cost of an error introduced to the output of the circuit. As a result, a variety of trade-offs between error and efficiency can be found. In this paper, a multiobjective evolutionary algorithm for the design of approximate digital circuits is proposed. The scalability of the evolutionary design has been recently improved using parallel implementation of the fitness function and by employing spatially structured evolutionary algorithms. The proposed multiobjective approach uses Cartesian Genetic Programming for the circuit representation and a modified NSGA-II algorithm. Multiple isolated islands are evolving in parallel and the populations are periodically merged and new populations are distributed across the islands. The method is evaluated in the task of approximate arithmetical circuits design.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA14-04197S" target="_blank" >GA14-04197S: Advanced Methods for Evolutionary Design of Complex Digital Circuits</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

GECCO '15 Proceedings of the 2015 conference on Genetic and evolutionary computation

ISBN

978-1-4503-3472-3

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

687-694

Publisher name

Association for Computing Machinery

Place of publication

New York

Event location

Madrid

Event date

Jul 11, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000358795700087