research-article

Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems

Authors:

J. Ignacio Hidalgo,

José L. Risco-Martín,

Juan LancharesAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1515 - 1522

https://doi.org/10.1145/1389095.1389388

Published: 12 July 2008 Publication History

Abstract

New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target embedded system is a time-consuming process due to the large design space of possible DDTs implementations. Thus, suitable exploration methods for embedded design metrics (memory accesses, memory usage and power consumption) need to be developed. In this work we present a detailed analysis of the characteristics of different types of Multi-Objective Evolutionary Algorithms (MOEAs) to tackle the optimization of DDTs in multimedia applications and compare them with other state-of-the-art heuristics. Our results with state-of-the-art MOEAs in two object-oriented multimedia embedded applications show that more sophisticated MOEAs (SPEA2 and NSGA-II) offer better solutions than simple schemes (VEGA). Moreover, the suitable sophisticated scheme varies according to the available exploration time, namely, NSGA-II outperforms SPEA2 in the first set of solutions (300-500 generations), while SPEA2 offers better solutions afterwards.

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Cited By

Ando YShibata SHonda STomiyama HTakada H(2014)Fast Design-Space Exploration Method for SW/HW Codesign on FPGAs2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines10.1109/FCCM.2014.70(235-235)Online publication date: May-2014
https://doi.org/10.1109/FCCM.2014.70
Risco-Martín JAtienza DGonzalo RHidalgo JRothlauf F(2009)Optimization of dynamic memory managers for embedded systems using grammatical evolutionProceedings of the 11th Annual conference on Genetic and evolutionary computation10.1145/1569901.1570116(1609-1616)Online publication date: 8-Jul-2009
https://dl.acm.org/doi/10.1145/1569901.1570116
Risco-Martín JHidalgo JAtienza DLanchares JGarnica ORothlauf F(2009)Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systemsProceedings of the 11th Annual conference on Genetic and evolutionary computation10.1145/1569901.1570115(1601-1608)Online publication date: 8-Jul-2009
https://dl.acm.org/doi/10.1145/1569901.1570115
Show More Cited By

Index Terms

Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Computing methodologies
  1. Artificial intelligence
    1. Search methodologies
      1. Heuristic function construction

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cover image ACM Conferences

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 12 July 2008

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GECCO08

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

Ando YShibata SHonda STomiyama HTakada H(2014)Fast Design-Space Exploration Method for SW/HW Codesign on FPGAs2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines10.1109/FCCM.2014.70(235-235)Online publication date: May-2014
https://doi.org/10.1109/FCCM.2014.70
Risco-Martín JAtienza DGonzalo RHidalgo JRothlauf F(2009)Optimization of dynamic memory managers for embedded systems using grammatical evolutionProceedings of the 11th Annual conference on Genetic and evolutionary computation10.1145/1569901.1570116(1609-1616)Online publication date: 8-Jul-2009
https://dl.acm.org/doi/10.1145/1569901.1570116
Risco-Martín JHidalgo JAtienza DLanchares JGarnica ORothlauf F(2009)Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systemsProceedings of the 11th Annual conference on Genetic and evolutionary computation10.1145/1569901.1570115(1601-1608)Online publication date: 8-Jul-2009
https://dl.acm.org/doi/10.1145/1569901.1570115
Risco-Martín JMittal SAtienza DHidalgo JLanchares JLempel RPerego RSilvestri F(2008)Optimization of dynamic data types in embedded systems using DEVS/SOA-based modeling and simulationProceedings of the 3rd international conference on Scalable information systems10.5555/1459693.1459717(1-11)Online publication date: 4-Jun-2008
https://dl.acm.org/doi/10.5555/1459693.1459717

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