research-article

Designing and Modeling a Browser-Based DistributedEvolutionary Computation System

Authors:

Juan J. Merelo-Guervós,

Pablo García-SánchezAuthors Info & Claims

GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

Pages 1117 - 1124

https://doi.org/10.1145/2739482.2768465

Published: 11 July 2015 Publication History

Abstract

Web browsers have scaled from simple page-rendering engines to operating systems that include most services the lower OS layer has, with the added facility that applications can be run by just visiting a web page. In this paper we will describe the front and back end of a distributed evolutionary computation system that uses the browser's capabilities of running programs written in JavaScript. We will focus on two different aspects of volunteer computing: first, the pragmatic: where to find those resources, which ones can be used, what kind of support you have to give them; and then, the theoretical: how evolutionary algorithms can be adapted to an environment in which nodes come and go, have different computing capabilities and operate in complete asynchrony of each other. We will examine the setup needed to create a simple distributed evolutionary algorithm using JavaScript, with the intention of eventually finding a model of how users react to it by collecting data from several experiments featuring a classical benchmark function.

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Cited By

Bharadwaj KDharanikota SHonawad AUsha DChandrasekaran K(2022)Fully Decentralized Blockchain and Browser-Based Volunteer Computing PlatformInternational Conference on Artificial Intelligence and Sustainable Engineering10.1007/978-981-16-8542-2_25(315-331)Online publication date: 30-Apr-2022
https://doi.org/10.1007/978-981-16-8542-2_25
Sagar Bharadwaj KDharanikota SHonawad AChandrasekaran K(2019)CollabChain: Blockchain-Backed Trustless Web-Based Volunteer Computing PlatformComputer Information Systems and Industrial Management10.1007/978-3-030-28957-7_42(509-522)Online publication date: 11-Aug-2019
https://doi.org/10.1007/978-3-030-28957-7_42
García-Valdez MMerelo Guervós JLara LGarcía-Sánchez P(2018)Increasing Performance via Gamification in a Volunteer-Based Evolutionary Computation SystemInformation Processing and Management of Uncertainty in Knowledge-Based Systems. Applications10.1007/978-3-319-91479-4_29(342-353)Online publication date: 18-May-2018
https://doi.org/10.1007/978-3-319-91479-4_29
Show More Cited By

Index Terms

Designing and Modeling a Browser-Based DistributedEvolutionary Computation System
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
    2. Search methodologies
  2. Machine learning
2. Theory of computation
  1. Design and analysis of algorithms
    1. Algorithm design techniques
      1. Dynamic programming

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Published In

cover image ACM Conferences

GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

July 2015

1568 pages

ISBN:9781450334884

DOI:10.1145/2739482

Editor:
Sara Silva
Universidade de Lisboa, Portugal
,
General Chair:
Anna I. Esparcia-Alcázar
Universitat Politècnica de València, Spain

Copyright © 2015 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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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: 11 July 2015

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Direccion General de Trafico
Spanish Ministry of Econ- omy and Competitivity

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GECCO '15

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SIGEVO

GECCO '15: Genetic and Evolutionary Computation Conference

July 11 - 15, 2015

Madrid, Spain

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

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Cited By

Bharadwaj KDharanikota SHonawad AUsha DChandrasekaran K(2022)Fully Decentralized Blockchain and Browser-Based Volunteer Computing PlatformInternational Conference on Artificial Intelligence and Sustainable Engineering10.1007/978-981-16-8542-2_25(315-331)Online publication date: 30-Apr-2022
https://doi.org/10.1007/978-981-16-8542-2_25
Sagar Bharadwaj KDharanikota SHonawad AChandrasekaran K(2019)CollabChain: Blockchain-Backed Trustless Web-Based Volunteer Computing PlatformComputer Information Systems and Industrial Management10.1007/978-3-030-28957-7_42(509-522)Online publication date: 11-Aug-2019
https://doi.org/10.1007/978-3-030-28957-7_42
García-Valdez MMerelo Guervós JLara LGarcía-Sánchez P(2018)Increasing Performance via Gamification in a Volunteer-Based Evolutionary Computation SystemInformation Processing and Management of Uncertainty in Knowledge-Based Systems. Applications10.1007/978-3-319-91479-4_29(342-353)Online publication date: 18-May-2018
https://doi.org/10.1007/978-3-319-91479-4_29
Fabisiak TDanilecki A(2017)Browser-based Harnessing of Voluntary Computational PowerFoundations of Computing and Decision Sciences10.1515/fcds-2017-000142:1(3-42)Online publication date: 4-Mar-2017
https://doi.org/10.1515/fcds-2017-0001
Merelo JGarcía Valdez MCotta CCotta CNeumann FSutton A(2016)Visualizing for SuccessProceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion10.1145/2908961.2931742(1427-1428)Online publication date: 20-Jul-2016
https://dl.acm.org/doi/10.1145/2908961.2931742
Merelo JCastillo PBlancas IRomero GGarcía-Sanchez PFernández-Ares ARivas VGarcía-Valdez M(2016)Benchmarking Languages for Evolutionary AlgorithmsApplications of Evolutionary Computation10.1007/978-3-319-31153-1_3(27-41)Online publication date: 2-Apr-2016
https://doi.org/10.1007/978-3-319-31153-1_3

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