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Automated Self-Assembly Programming Paradigm: A Particle Swarm Realization (2006)
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| Venue: | IN PROCEEDINGS OF THE THIRD IEEE INTERNATIONAL WORKSHOP ON ENGINEERING OF AUTONOMIC & AUTONOMOUS SYSTEMS |
| Citations: | 13 - 2 self |
BibTeX
@INPROCEEDINGS{Li06automatedself-assembly,
author = {Lin Li and Natalio Krasnogor and Jon Garibaldi},
title = {Automated Self-Assembly Programming Paradigm: A Particle Swarm Realization},
booktitle = {IN PROCEEDINGS OF THE THIRD IEEE INTERNATIONAL WORKSHOP ON ENGINEERING OF AUTONOMIC & AUTONOMOUS SYSTEMS},
year = {2006},
pages = {25--34},
publisher = {IEEE Computer Society}
}
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Abstract
In our previous work [14], we introduced Automated Self-Assembly Programming Paradigm (ASAP²). We investigated how external environment settings affect population diversity and software self-assembly efficiency. In this paper, we introduce a mathematical model for ASAP² that allows us to predict time to equilibrium and diversity of generated solutions. In addition, we extended the work and illustrate an improved methodology for ASAP² based on particle swarm optimization. We carry out the same set of experiments as we did before and compare it with the results obtained from the interpolation. Results indicate that an improvement in software self-assembly efficiency can be achieved.
