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

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Title A simulation based fly optimization algorithm for swarms of mini autonomous surface vehicles application
 
Creator Abidin, Zulkifli Zainal
Arshad, Mohd Rizal
Ngah, Umi Kalthum
 
Subject Metaheuristic
Fly Optimization Algorithm
Drosobots
Drosophila
 
Description 250-266
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.
 
Date 2011-05-23T11:32:48Z
2011-05-23T11:32:48Z
2011-04
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/11731
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.40(2) [April 2011]