Teeport: Break the Wall Between the Optimization Algorithms and Problems

Optimization algorithms/techniques such as genetic algorithm, particle swarm optimization, and Gaussian process have been widely used in the accelerator field to tackle complex design/online optimization problems. However, connecting the algorithm with the optimization problem can be difficult, as t...

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Autores principales: Zhe Zhang, Xiaobiao Huang, Minghao Song
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/67e502f21881405d9ffd23c2b4835203
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spelling oai:doaj.org-article:67e502f21881405d9ffd23c2b48352032021-11-16T07:46:39ZTeeport: Break the Wall Between the Optimization Algorithms and Problems2624-909X10.3389/fdata.2021.734650https://doaj.org/article/67e502f21881405d9ffd23c2b48352032021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fdata.2021.734650/fullhttps://doaj.org/toc/2624-909XOptimization algorithms/techniques such as genetic algorithm, particle swarm optimization, and Gaussian process have been widely used in the accelerator field to tackle complex design/online optimization problems. However, connecting the algorithm with the optimization problem can be difficult, as the algorithms and the problems may be implemented in different languages, or they may require specific resources. We introduce an optimization platform named Teeport that is developed to address the above issues. This real-time communication-based platform is designed to minimize the effort of integrating the algorithms and problems. Once integrated, the users are granted a rich feature set, such as monitoring, controlling, and benchmarking. Some real-life applications of the platform are also discussed.Zhe ZhangXiaobiao HuangMinghao SongMinghao SongFrontiers Media S.A.articleoptimizationreal-time communicationbenchmarkingremoteplatformInformation technologyT58.5-58.64ENFrontiers in Big Data, Vol 4 (2021)
institution DOAJ
collection DOAJ
language EN
topic optimization
real-time communication
benchmarking
remote
platform
Information technology
T58.5-58.64
spellingShingle optimization
real-time communication
benchmarking
remote
platform
Information technology
T58.5-58.64
Zhe Zhang
Xiaobiao Huang
Minghao Song
Minghao Song
Teeport: Break the Wall Between the Optimization Algorithms and Problems
description Optimization algorithms/techniques such as genetic algorithm, particle swarm optimization, and Gaussian process have been widely used in the accelerator field to tackle complex design/online optimization problems. However, connecting the algorithm with the optimization problem can be difficult, as the algorithms and the problems may be implemented in different languages, or they may require specific resources. We introduce an optimization platform named Teeport that is developed to address the above issues. This real-time communication-based platform is designed to minimize the effort of integrating the algorithms and problems. Once integrated, the users are granted a rich feature set, such as monitoring, controlling, and benchmarking. Some real-life applications of the platform are also discussed.
format article
author Zhe Zhang
Xiaobiao Huang
Minghao Song
Minghao Song
author_facet Zhe Zhang
Xiaobiao Huang
Minghao Song
Minghao Song
author_sort Zhe Zhang
title Teeport: Break the Wall Between the Optimization Algorithms and Problems
title_short Teeport: Break the Wall Between the Optimization Algorithms and Problems
title_full Teeport: Break the Wall Between the Optimization Algorithms and Problems
title_fullStr Teeport: Break the Wall Between the Optimization Algorithms and Problems
title_full_unstemmed Teeport: Break the Wall Between the Optimization Algorithms and Problems
title_sort teeport: break the wall between the optimization algorithms and problems
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/67e502f21881405d9ffd23c2b4835203
work_keys_str_mv AT zhezhang teeportbreakthewallbetweentheoptimizationalgorithmsandproblems
AT xiaobiaohuang teeportbreakthewallbetweentheoptimizationalgorithmsandproblems
AT minghaosong teeportbreakthewallbetweentheoptimizationalgorithmsandproblems
AT minghaosong teeportbreakthewallbetweentheoptimizationalgorithmsandproblems
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