research-article

A memory efficient and continuous-valued compact EDA for large scale problems

Authors:

Sergio Rojas-Galeano,

Nestor RodriguezAuthors Info & Claims

GECCO '12: Proceedings of the 14th annual conference on Genetic and evolutionary computation

Pages 281 - 288

https://doi.org/10.1145/2330163.2330204

Published: 07 July 2012 Publication History

Abstract

This paper considers large-scale OneMax and RoyalRoad problems with up to 10⁷ binary variables within a compact Estimation of Distribution Algorithms (EDA) framework. Building upon the compact Genetic Algorithm (cGA), the continuous domain Population-Based Incremental Learning algorithm (PBILc) and the arithmetic-coding EDA, we define a novel method that is able to compactly solve regular and noisy versions of these problems with minimal memory requirements, regardless of problem or population size. This feature allows the algorithm to be run in a conventional desktop machine. Issues regarding probability model sampling, arbitrary precision of the arithmetic-coding decompressing scheme, incremental fitness function evaluation and updating rules for compact learning, are presented and discussed.

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Cited By

Merelo JLaredo JCastillo PGarcía-Valdez JRojas-Galeano S(2019)Scaling in Concurrent Evolutionary AlgorithmsApplied Computer Sciences in Engineering10.1007/978-3-030-31019-6_2(16-27)Online publication date: 9-Oct-2019
https://doi.org/10.1007/978-3-030-31019-6_2
Jezewski SDlugosz R(2017)Selected aspects and tradeoffs in transistor level implementation of genetic algorithms2017 IEEE 30th International Conference on Microelectronics (MIEL)10.1109/MIEL.2017.8190110(235-238)Online publication date: Oct-2017
https://doi.org/10.1109/MIEL.2017.8190110
Garzón-Rodriguez LDiosa HRojas-Galeano SEsparcia-Alcázar A(2015)Deconstructing GAs into Visual Software ComponentsProceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation10.1145/2739482.2768466(1125-1132)Online publication date: 11-Jul-2015
https://dl.acm.org/doi/10.1145/2739482.2768466
Show More Cited By

Index Terms

A memory efficient and continuous-valued compact EDA for large scale problems
1. Computing methodologies
  1. Artificial intelligence
    1. Search methodologies
      1. Heuristic function construction

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cover image ACM Conferences

GECCO '12: Proceedings of the 14th annual conference on Genetic and evolutionary computation

July 2012

1396 pages

ISBN:9781450311779

DOI:10.1145/2330163

Editor:
Terence Soule
University of Idaho, USA
,
General Chair:
Jason H. Moore
Dartmouth College, USA

Copyright © 2012 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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SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2012

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GECCO '12

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GECCO '12: Genetic and Evolutionary Computation Conference

July 7 - 11, 2012

Pennsylvania, Philadelphia, USA

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

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Cited By

Merelo JLaredo JCastillo PGarcía-Valdez JRojas-Galeano S(2019)Scaling in Concurrent Evolutionary AlgorithmsApplied Computer Sciences in Engineering10.1007/978-3-030-31019-6_2(16-27)Online publication date: 9-Oct-2019
https://doi.org/10.1007/978-3-030-31019-6_2
Jezewski SDlugosz R(2017)Selected aspects and tradeoffs in transistor level implementation of genetic algorithms2017 IEEE 30th International Conference on Microelectronics (MIEL)10.1109/MIEL.2017.8190110(235-238)Online publication date: Oct-2017
https://doi.org/10.1109/MIEL.2017.8190110
Garzón-Rodriguez LDiosa HRojas-Galeano SEsparcia-Alcázar A(2015)Deconstructing GAs into Visual Software ComponentsProceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation10.1145/2739482.2768466(1125-1132)Online publication date: 11-Jul-2015
https://dl.acm.org/doi/10.1145/2739482.2768466
Garzon LRodriguez NOrjuela HRojas-Galeano S(2015)Component-based visual evolutionary computation2015 10th Computing Colombian Conference (10CCC)10.1109/ColumbianCC.2015.7333451(392-399)Online publication date: Sep-2015
https://doi.org/10.1109/ColumbianCC.2015.7333451
Rojas-Galeano SRodriguez NAlba E(2013)GoldenberryProceedings of the 15th annual conference companion on Genetic and evolutionary computation10.1145/2464576.2482712(1325-1332)Online publication date: 6-Jul-2013
https://dl.acm.org/doi/10.1145/2464576.2482712

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