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2016 | OriginalPaper | Chapter

Computational Intelligence-Based Parametrization on Force-Field Modeling for Silicon Cluster Using ASBO

Authors : S. N. Gondakar, S. T. Vasan, Manoj Kumar Singh

Published in: Proceedings of the Second International Conference on Computer and Communication Technologies

Publisher: Springer India

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Abstract

A new parametrization of the small-size silicon cluster is proposed in this paper to improve the quality of predicted energy value by potential energy function in force-field modeling. ASBO-based concept has applied to evolve the parameters under different circumstances and cluster structure. The performance of new parameters is compared with the other well-established parameters in stillinger–weber energy function and its variants. Under known and unknown environment, effects of higher dimension in energy predicting capability are also analyzed. A significant improvement is observed in predicting the small cluster energy value with a proposed solution compared to values obtained with existing parameters. PSO with dynamic weight (DWPSO) is also applied to analyze the comparative capability of ASBO in solution exploration and convergence characteristics, and there is a remarkable improvement observed with ASBO-based solution.

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Metadata
Title
Computational Intelligence-Based Parametrization on Force-Field Modeling for Silicon Cluster Using ASBO
Authors
S. N. Gondakar
S. T. Vasan
Manoj Kumar Singh
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of the Second International Conference on Computer and Communication Technologies

Print ISBN: 978-81-322-2522-5

Electronic ISBN: 978-81-322-2523-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2523-2_8