Competitive multi-swarm system in adaptive resource allocation for a multi-process system

This article presents a new proposal that performs adaptive resource allocation to control a multi-process system using bio-inspired techniques, based specifically on swarm intelligence algorithms (SI). These algorithms solve highly complex problems from simple rules to show adaptive and cooperativ...

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Main Authors: Juan Marulanda, Wilfredo Alfonso, Eduardo Caicedo
Format: Article
Language:English
Published: Universidad de Antioquia 2013-05-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/15233
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author Juan Marulanda
Wilfredo Alfonso
Eduardo Caicedo
author_facet Juan Marulanda
Wilfredo Alfonso
Eduardo Caicedo
author_sort Juan Marulanda
collection DOAJ
description This article presents a new proposal that performs adaptive resource allocation to control a multi-process system using bio-inspired techniques, based specifically on swarm intelligence algorithms (SI). These algorithms solve highly complex problems from simple rules to show adaptive and cooperative characteristics among various individual agents. This leads to observe with expectation the performance in the applicability that these algorithms handle to control complex systems with multiple inputs and multiple outputs. This paper presents a proposal of different swarm models run independently that recreate a competitive system from an operational standpoint, because each model is based only on its own assigned properties. This proposal was studied and analyzed using various performance metrics. All tested algorithms were able to control all assigned processes and especially the ant model showed more stability.
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spelling doaj.art-9492260558594d4984f4e4324cad4e372023-03-23T12:34:48ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442013-05-016610.17533/udea.redin.15233Competitive multi-swarm system in adaptive resource allocation for a multi-process systemJuan Marulanda0Wilfredo Alfonso1Eduardo Caicedo2University of ValleUniversity of ValleUniversity of Valle This article presents a new proposal that performs adaptive resource allocation to control a multi-process system using bio-inspired techniques, based specifically on swarm intelligence algorithms (SI). These algorithms solve highly complex problems from simple rules to show adaptive and cooperative characteristics among various individual agents. This leads to observe with expectation the performance in the applicability that these algorithms handle to control complex systems with multiple inputs and multiple outputs. This paper presents a proposal of different swarm models run independently that recreate a competitive system from an operational standpoint, because each model is based only on its own assigned properties. This proposal was studied and analyzed using various performance metrics. All tested algorithms were able to control all assigned processes and especially the ant model showed more stability. https://revistas.udea.edu.co/index.php/ingenieria/article/view/15233 swarm intelligence multi-processing systemadaptive resource allocationintelligent control
spellingShingle Juan Marulanda
Wilfredo Alfonso
Eduardo Caicedo
Competitive multi-swarm system in adaptive resource allocation for a multi-process system
Revista Facultad de Ingeniería Universidad de Antioquia
swarm intelligence
multi-processing system
adaptive resource allocation
intelligent control
title Competitive multi-swarm system in adaptive resource allocation for a multi-process system
title_full Competitive multi-swarm system in adaptive resource allocation for a multi-process system
title_fullStr Competitive multi-swarm system in adaptive resource allocation for a multi-process system
title_full_unstemmed Competitive multi-swarm system in adaptive resource allocation for a multi-process system
title_short Competitive multi-swarm system in adaptive resource allocation for a multi-process system
title_sort competitive multi swarm system in adaptive resource allocation for a multi process system
topic swarm intelligence
multi-processing system
adaptive resource allocation
intelligent control
url https://revistas.udea.edu.co/index.php/ingenieria/article/view/15233
work_keys_str_mv AT juanmarulanda competitivemultiswarmsysteminadaptiveresourceallocationforamultiprocesssystem
AT wilfredoalfonso competitivemultiswarmsysteminadaptiveresourceallocationforamultiprocesssystem
AT eduardocaicedo competitivemultiswarmsysteminadaptiveresourceallocationforamultiprocesssystem