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A modern, event-based architecture for distributed evolutionary algorithms

Authors:

José-Mario García-Valdez,

Juan-Julián Merelo-GuervósAuthors Info & Claims

GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Pages 233 - 234

https://doi.org/10.1145/3205651.3205719

Published: 06 July 2018 Publication History

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Abstract

In this paper we introduce KafkEO, a cloud native evolutionary algorithms framework that is prepared to work with population-based metaheuristics by using micro-populations and stateless services as the main building blocks; KafkEO is an attempt to map the traditional evolutionary algorithm to this new cloud-native format.

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Andrea De Lucia and Pasquale Salza. 2017. Parallel Genetic Algorithms in the Cloud. (2017), 1--166.

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Włodzimierz Funika and Paweł Koperek. 2016. Towards a Scalable Distributed Fitness Evaluation Service. In Parallel Processing and Applied Mathematics, Roman Wyrzykowski, Ewa Deelman, Jack Dongarra, Konrad Karczewski, Jacek Kitowski, and Kazimierz Wiatr (Eds.). Springer International Publishing, Cham, 493--502.

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Mario García-Valdez, Leonardo Trujillo, Juan-J Merelo, Francisco Fernández de Vega, and Gustavo Olague. 2015. The EvoSpace Model for Pool-Based Evolutionary Algorithms. Journal of Grid Computing 13, 3 (01 Sep 2015), 329--349.

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Pasquale Salza, Erik Hemberg, Filomena Ferrucci, and Una-May O'Reilly. 2017. cCube: a cloud microservices architecture for evolutionary machine learning classification. In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM, 137--138.

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Mancilla ACastillo OValdez M(2022)Mixing Population-Based Metaheuristics: An Approach Based on a Distributed-Queue for the Optimal Design of Fuzzy ControllersIntelligent and Fuzzy Systems10.1007/978-3-031-09173-5_96(839-846)Online publication date: 5-Jul-2022
https://doi.org/10.1007/978-3-031-09173-5_96
Mancilla ACastillo OGarcia-Valdez M(2022)Optimization of Fuzzy-Control Parameters for Path Tracking of a Mobile Robot Using Distributed Genetic AlgorithmsNew Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics10.1007/978-3-031-08266-5_12(167-177)Online publication date: 1-Oct-2022
https://doi.org/10.1007/978-3-031-08266-5_12
Guzmán JGarcía-Valdez MMerelo-Guervós J(2021)Can Communication Topology Improve a Multi-swarm PSO Algorithms?Applied Computer Sciences in Engineering10.1007/978-3-030-86702-7_1(3-12)Online publication date: 29-Sep-2021
https://doi.org/10.1007/978-3-030-86702-7_1
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A modern, event-based architecture for distributed evolutionary algorithms

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Published In

GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion

July 2018

1968 pages

ISBN:9781450357647

DOI:10.1145/3205651

Editor:
Hernan Aguirre
Shinshu University
,
General Chair:
Keiki Takadama
The University of Electro-Communications

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: 06 July 2018

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GECCO '18

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SIGEVO

GECCO '18: Genetic and Evolutionary Computation Conference

July 15 - 19, 2018

Kyoto, Japan

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

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Mancilla ACastillo OValdez M(2022)Mixing Population-Based Metaheuristics: An Approach Based on a Distributed-Queue for the Optimal Design of Fuzzy ControllersIntelligent and Fuzzy Systems10.1007/978-3-031-09173-5_96(839-846)Online publication date: 5-Jul-2022
https://doi.org/10.1007/978-3-031-09173-5_96
Mancilla ACastillo OGarcia-Valdez M(2022)Optimization of Fuzzy-Control Parameters for Path Tracking of a Mobile Robot Using Distributed Genetic AlgorithmsNew Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics10.1007/978-3-031-08266-5_12(167-177)Online publication date: 1-Oct-2022
https://doi.org/10.1007/978-3-031-08266-5_12
Guzmán JGarcía-Valdez MMerelo-Guervós J(2021)Can Communication Topology Improve a Multi-swarm PSO Algorithms?Applied Computer Sciences in Engineering10.1007/978-3-030-86702-7_1(3-12)Online publication date: 29-Sep-2021
https://doi.org/10.1007/978-3-030-86702-7_1
García-Valdez MMerelo J(2021)Event-Driven Multi-algorithm Optimization: Mixing Swarm and Evolutionary StrategiesApplications of Evolutionary Computation10.1007/978-3-030-72699-7_47(747-762)Online publication date: 1-Apr-2021
https://doi.org/10.1007/978-3-030-72699-7_47
Zhao SDziurzanski PPrzewozniczek MKomarnicki MIndrusiak LAuger AStützle T(2019)Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factoriesProceedings of the Genetic and Evolutionary Computation Conference10.1145/3321707.3321826(1381-1389)Online publication date: 13-Jul-2019
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Merelo JAuger AStützle T(2019)Concurrency in evolutionary algorithmsProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3319619.3323395(1172-1174)Online publication date: 13-Jul-2019
https://dl.acm.org/doi/10.1145/3319619.3323395
Zhao SMei HDziurzanski PPrzewozniczek MIndrusiak L(2019)Cloud-Based Integrated Process Planning and Scheduling Optimisation via Asynchronous IslandsEconomics of Grids, Clouds, Systems, and Services10.1007/978-3-030-36027-6_21(247-259)Online publication date: 24-Nov-2019
https://doi.org/10.1007/978-3-030-36027-6_21
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
Merelo JLaredo JCastillo PGarcía-Valdez JRojas-Galeano S(2019)Exploring Concurrent and Stateless Evolutionary AlgorithmsTheory and Applications of Models of Computation10.1007/978-3-030-16692-2_27(405-412)Online publication date: 30-Mar-2019
https://doi.org/10.1007/978-3-030-16692-2_27

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Monitoring-based auto-scalability across hybrid clouds

Mapping evolutionary algorithms to a reactive, stateless architecture: using a modern concurrent language

Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform

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