A generic distributed microservices and container based framework for metaheuristic optimization-Reference-Cited by-同舟云学术

A generic distributed microservices and container based framework for metaheuristic optimization

Published:2018-07-06 Issue: Volume: Page:
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Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Khalloof Hatem¹,Jakob Wilfried¹,Liu Jianlei¹,Braun Eric¹,Shahoud Shadi¹,Duepmeier Clemens¹,Hagenmeyer Veit¹

Affiliation:

1. Karlsruhe Institute of Technology, Karlsruhe, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3205651.3208253

Reference28 articles.

1. Christian Blume and Wilfried Jakob. 2002. GLEAM-An Evolutionary Algorithm for Planning and Control Based on Evolution Strategy. In GECCO Late Breaking Papers. 31--38. Christian Blume and Wilfried Jakob. 2002. GLEAM-An Evolutionary Algorithm for Planning and Control Based on Evolution Strategy. In GECCO Late Breaking Papers. 31--38.

2. Christian Blume and Wilfried Jakob. 2009. GLEAM-general learning evolutionary algorithm and method: ein evolutionärer Algorithmus und seine Anwendungen {in German}. Vol. 32. KIT Scientific Publishing. Christian Blume and Wilfried Jakob. 2009. GLEAM-general learning evolutionary algorithm and method: ein evolutionärer Algorithmus und seine Anwendungen {in German}. Vol. 32. KIT Scientific Publishing.

3. Erick Cantú-Paz. 2000. Efficient and accurate parallel genetic algorithms. Vol. 1. Springer Science & Business Media. Erick Cantú-Paz. 2000. Efficient and accurate parallel genetic algorithms. Vol. 1. Springer Science & Business Media.

4. Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study

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