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

Title
An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming
Authors
Lee, JH[Lee, Jong-Hyun]Ahn, CW[Ahn, Chang Wook]An, J[An, Jinung]
DGIST Authors
An, J[An, Jinung]
Issue Date
2013
Citation
Scientific World Journal
Type
Article
Article Type
Article
Keywords
AlgorithmAlgorithmsArtificial IntelligenceBiological ModelChromosomeComputer ProgramComputer SystemCooperationCooperative BehaviorEvaluationEvolutionGene MutationGenetic AnalysisMathematical AnalysisMethodologyModels, GeneticMotionOscillatorProductivityRoboticsSelf Assembling Swarm Robot
ISSN
1537-744X
Abstract
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. © 2013 Jong-Hyun Lee et al.
URI
http://hdl.handle.net/20.500.11750/1614
DOI
10.1155/2013/593848
Publisher
HINDAWI PUBLISHING CORP
Related Researcher
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Wellness1. Journal Articles


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