A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework

Adaptive algorithms; Agent based simulation; Agent-based simulation framework; Different domains; Domain specific; Dynamic process; Dynamic process simulation; Self-adaptive; Simulation framework; Simulation model; Simulation platform

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Bibliographic Details
Main Authors: Loo Y.L., Ahmad A., Mustapha A., Mostafa S.A.
Other Authors: 57321882600
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-260012023-05-29T17:05:59Z A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework Loo Y.L. Ahmad A. Mustapha A. Mostafa S.A. 57321882600 55390963300 57200530694 37036085800 Adaptive algorithms; Agent based simulation; Agent-based simulation framework; Different domains; Domain specific; Dynamic process; Dynamic process simulation; Self-adaptive; Simulation framework; Simulation model; Simulation platform Traditional simulation modelling of dynamic processes aimed at domain-specific simulation with specific simulation objectives. Studies of recent years uncovered drawbacks of domain-specific simulation models for dynamic processes which include unreliable simulation results and questionable robustness of simulation model. Generic agent-based simulation modelling frameworks tried to bridge the gap being a platform to simulate different domain-specific simulation models. However, the efforts were not continued, most probably due to the main gap of having domain-specific models developed for each specific simulation objectives were not addressed. Thus, the aim of this research to bridge the gap by having a self-adaptive simulation model. Dynamic processes from three different domains. For instance, transportation, education and security were used as benchmark of self-capability of the simulation model. Key parameters, self-adaptive algorithms were formulated and implemented through simulation model. The self-adaptive simulation model was able to construct simulation model and generate replicable results based on different combinations of key parameter inputs entered into the simulation system. This achievement opened the possibility of having a self-adaptive simulation modelling of dynamic processes for three different domains. � 2021 IEEE. Final 2023-05-29T09:05:59Z 2023-05-29T09:05:59Z 2021 Conference Paper 10.1109/ISAMSR53229.2021.9567854 2-s2.0-85118434856 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118434856&doi=10.1109%2fISAMSR53229.2021.9567854&partnerID=40&md5=be899bcca5fe238d1c2fd9b0e64a750e https://irepository.uniten.edu.my/handle/123456789/26001 124 129 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Adaptive algorithms; Agent based simulation; Agent-based simulation framework; Different domains; Domain specific; Dynamic process; Dynamic process simulation; Self-adaptive; Simulation framework; Simulation model; Simulation platform
author2 57321882600
author_facet 57321882600
Loo Y.L.
Ahmad A.
Mustapha A.
Mostafa S.A.
format Conference Paper
author Loo Y.L.
Ahmad A.
Mustapha A.
Mostafa S.A.
spellingShingle Loo Y.L.
Ahmad A.
Mustapha A.
Mostafa S.A.
A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
author_sort Loo Y.L.
title A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
title_short A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
title_full A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
title_fullStr A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
title_full_unstemmed A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
title_sort self-adaptive agent-based dynamic processes simulation modelling framework
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806424104593522688
score 13.18916