A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application

Present paper intends to provide a detailed description of a new bio-inspired Metaheuristic Algorithm. Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approa...

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Main Author: Zainal Abidin, Zulkifli
Format: Article
Language:English
Published: NATL inst science communication-NISCAIR 2011
Subjects:
Online Access:http://irep.iium.edu.my/35400/
http://irep.iium.edu.my/35400/1/J_2011_A_simulation_based_fly_optimisation_algorithm_for_swarms_of_mini_autonomous_surface_vehicles_application.pdf
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author Zainal Abidin, Zulkifli
author_facet Zainal Abidin, Zulkifli
author_sort Zainal Abidin, Zulkifli
building IIUM Repository
collection Online Access
description Present paper intends to provide a detailed description of a new bio-inspired Metaheuristic Algorithm. Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approach is presented. The optimal simulation parameters can be used for the real application. FOA is suitable for applications that need a small number of agents; in the range of 8 to 24 only. The objective of the simulation is to understand the effect of the algorithm parameter on searching pattern strategy, as well as the possibility and the effectiveness of the proposed technique for the Swarm of mini Autonomous Surface Vehicles' (ASVs) application.
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spelling iium-354002014-02-07T01:22:20Z http://irep.iium.edu.my/35400/ A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application Zainal Abidin, Zulkifli TK7885 Computer engineering Present paper intends to provide a detailed description of a new bio-inspired Metaheuristic Algorithm. Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approach is presented. The optimal simulation parameters can be used for the real application. FOA is suitable for applications that need a small number of agents; in the range of 8 to 24 only. The objective of the simulation is to understand the effect of the algorithm parameter on searching pattern strategy, as well as the possibility and the effectiveness of the proposed technique for the Swarm of mini Autonomous Surface Vehicles' (ASVs) application. NATL inst science communication-NISCAIR 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/35400/1/J_2011_A_simulation_based_fly_optimisation_algorithm_for_swarms_of_mini_autonomous_surface_vehicles_application.pdf Zainal Abidin, Zulkifli (2011) A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application. Indian Journal of Geo Marine Sciences , 40 (2). pp. 250-266. ISSN 03795136 http://nopr.niscair.res.in/handle/123456789/3
spellingShingle TK7885 Computer engineering
Zainal Abidin, Zulkifli
A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
title A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
title_full A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
title_fullStr A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
title_full_unstemmed A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
title_short A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
title_sort simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
topic TK7885 Computer engineering
url http://irep.iium.edu.my/35400/
http://irep.iium.edu.my/35400/
http://irep.iium.edu.my/35400/1/J_2011_A_simulation_based_fly_optimisation_algorithm_for_swarms_of_mini_autonomous_surface_vehicles_application.pdf