An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming

In recent days, self-assembling swarm robots have been studied by a number of researchers due to their advantages such as high efficiency, stability, and scalability. However, there are still critical issues in applying them to practical problems in the real world. The main objective of this study i...

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Main Authors: Jong-Hyun Lee, Chang Wook Ahn, Jinung An
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/593848
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author Jong-Hyun Lee
Chang Wook Ahn
Jinung An
author_facet Jong-Hyun Lee
Chang Wook Ahn
Jinung An
author_sort Jong-Hyun Lee
collection DOAJ
description In recent days, self-assembling swarm robots have been studied by a number of researchers due to their advantages such as high efficiency, stability, and scalability. However, there are still critical issues in applying them to practical problems in the real world. The main objective of this study is to develop a novel self-assembling swarm robot algorithm that overcomes the limitations of existing approaches. To this end, multitree genetic programming is newly designed to efficiently discover a set of patterns necessary to carry out the mission of the self-assembling swarm robots. The obtained patterns are then incorporated into their corresponding robot modules. The computational experiments prove the effectiveness of the proposed approach.
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institution Kabale University
issn 1537-744X
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publishDate 2013-01-01
publisher Wiley
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series The Scientific World Journal
spelling doaj-art-fd7a5aaba0ea4843a872715f3dfc85582025-02-03T01:30:16ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/593848593848An Approach to Self-Assembling Swarm Robots Using Multitree Genetic ProgrammingJong-Hyun Lee0Chang Wook Ahn1Jinung An2Department of Computer Engineering, Sungkyunkwan University (SKKU), Suwon 440-746, Republic of KoreaDepartment of Computer Engineering, Sungkyunkwan University (SKKU), Suwon 440-746, Republic of KoreaRobot Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 711-873, Republic of KoreaIn recent days, self-assembling swarm robots have been studied by a number of researchers due to their advantages such as high efficiency, stability, and scalability. However, there are still critical issues in applying them to practical problems in the real world. The main objective of this study is to develop a novel self-assembling swarm robot algorithm that overcomes the limitations of existing approaches. To this end, multitree genetic programming is newly designed to efficiently discover a set of patterns necessary to carry out the mission of the self-assembling swarm robots. The obtained patterns are then incorporated into their corresponding robot modules. The computational experiments prove the effectiveness of the proposed approach.http://dx.doi.org/10.1155/2013/593848
spellingShingle Jong-Hyun Lee
Chang Wook Ahn
Jinung An
An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming
The Scientific World Journal
title An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming
title_full An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming
title_fullStr An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming
title_full_unstemmed An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming
title_short An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming
title_sort approach to self assembling swarm robots using multitree genetic programming
url http://dx.doi.org/10.1155/2013/593848
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AT jonghyunlee approachtoselfassemblingswarmrobotsusingmultitreegeneticprogramming
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