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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Language: | English |
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Wiley
2013-01-01
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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. |
format | Article |
id | doaj-art-fd7a5aaba0ea4843a872715f3dfc8558 |
institution | Kabale University |
issn | 1537-744X |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
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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