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Activation energy-based simulation for self-assembly of multi-shape tiles
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Genetic And Evolutionary Computation Conference archive
Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation table of contents
London, United Kingdom
SESSION: Late-breaking papers table of contents
Pages 2462-2467  
Year of Publication: 2007
ISBN:978-1-59593-698-1
Author
Mostafa Mostafa Hashim Ellabaan  Cairo University, Giza, Egypt
Sponsors
ACM: Association for Computing Machinery
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Building artificial systems using self-assembly is one of the main issues of artificial life [17]. Scientists are trying to understand this process either using experimental approaches or computer simulation approaches. This paper aims at supporting research using computer simulation approaches mimicking self-assembly as it occurs in the real world using basic principles in physics such as Brownian motion and basic concepts in Chemistry such as activation energy required to build molecules at molecular level. In this paper, a simulator has been implemented to mimic the process of self-assembly. In this simulator, objects are modeled by shapes such as cubes, tetrahedrons, wedges and pyramids with colors in their faces. The objects move randomly in Brownian motion, and the faces' colors determine how the objects interact with each other. Each object has its own probability to move which depends on the energy that the object gains through its interaction with other objects. The higher energy an object has the less probability that the object has to move and vise verse.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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