Abstract
A single-string-based evolutionary algorithm that adaptively learns to control the mutation probability (pm) and mutation intensity (Δm) has been developed and used to investigate the ground-state configurations and energetics of 3D clusters of a finite number (N) of ‘point-like’ charged particles. The particles are confined by a harmonic potential that is either isotropic or anisotropic. The energy per particle (EN /N) and its first and second differences are analyzed as functions of confinement anisotropy, to understand the nature of structural transition in these systems.
Original language | English (US) |
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Title of host publication | 2nd International Conference on Soft Computing for Problem Solving, SocProS 2012, Proceedings |
Editors | B.V. Babu, Atulya Nagar, Jagdish Chand Bansal, Millie Pant, Kusum Deep, Kanad Ray, Umesh Gupta |
Publisher | Springer Verlag |
Pages | 1237-1243 |
Number of pages | 7 |
ISBN (Electronic) | 9788132216018 |
DOIs | |
State | Published - 2014 |
Event | 2nd International Conference on Soft Computing for Problem Solving, SocProS 2012 - Jaipur, India Duration: Dec 28 2012 → Dec 30 2012 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 236 |
ISSN (Print) | 2194-5357 |
Other
Other | 2nd International Conference on Soft Computing for Problem Solving, SocProS 2012 |
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Country/Territory | India |
City | Jaipur |
Period | 12/28/12 → 12/30/12 |
Bibliographical note
Publisher Copyright:© Springer India 2014.
Keywords
- 3D Coulomb clusters
- Genetic algorithm
- Mutation intensity
- Mutation probability
- Simulated annealing