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Assessing different architectures for evolutionary algorithms in javascript

Authors:

Juan Julián Merelo,

Pedro Castillo,

Antonio Mora,

Anna I. Esparcia-Alcázar,

Víctor M. Rivas SantosAuthors Info & Claims

GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation

Pages 119 - 120

https://doi.org/10.1145/2598394.2598460

Published: 12 July 2014 Publication History

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Abstract

JavaScript (JS) is nowadays the only language that can be used to develop web-based client-server applications in both tiers, client and server. This makes it an interesting choice for developing distributed evolutionary computation experiments, but the best way from algorithmic and practical point of views is not clear, so we will compare different distributed EC architectures in JavaScript using NodEO, an open source JS framework released by us.

References

[1]

D. H. Ackley. A connectionist machine for genetic hillclimbing. Kluwer Academic Publishers, Norwell, MA, USA, 1987.

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[2]

J. J. Merelo Guervós. NodEO, a evolutionary algorithm library in Node. Technical report, GeNeura group, Mar. 2014. Available at http://figshare.com/articles/nodeo/972892.

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Merelo-Guervós JGarcía-Valdez MCastillo P(2024)Green Evolutionary Algorithms and JavaScript: A Study on Different Software and Hardware ArchitecturesSoftware Technologies10.1007/978-3-031-61753-9_1(1-18)Online publication date: 24-May-2024
https://doi.org/10.1007/978-3-031-61753-9_1

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Assessing different architectures for evolutionary algorithms in javascript

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GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation

July 2014

1524 pages

ISBN:9781450328814

DOI:10.1145/2598394

Editor-in-chief:
Christian Igel
Ruhr University of Bochum, University of Copenhagen
,
General Chair:
Dirk V. Arnold
Dalhousie University

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 12 July 2014

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GECCO '14

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SIGEVO

GECCO '14: Genetic and Evolutionary Computation Conference

July 12 - 16, 2014

BC, Vancouver, Canada

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GECCO Comp '14 Paper Acceptance Rate 180 of 544 submissions, 33%;

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

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Merelo-Guervós JGarcía-Valdez MCastillo P(2024)Green Evolutionary Algorithms and JavaScript: A Study on Different Software and Hardware ArchitecturesSoftware Technologies10.1007/978-3-031-61753-9_1(1-18)Online publication date: 24-May-2024
https://doi.org/10.1007/978-3-031-61753-9_1

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NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScript

A Bottom-Up Approach to Teaching Server-Side Web Development Skills (Abstract Only)

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