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)|
|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|
|Number of pages||7|
|State||Published - 2014|
|Event||2nd International Conference on Soft Computing for Problem Solving, SocProS 2012 - Jaipur, India|
Duration: Dec 28 2012 → Dec 30 2012
|Name||Advances in Intelligent Systems and Computing|
|Other||2nd International Conference on Soft Computing for Problem Solving, SocProS 2012|
|Period||12/28/12 → 12/30/12|
Bibliographical noteFunding Information:
K. Sarkar thanks the CSIR, Government of India, New Delhi, for the award of senior research fellowship, and S.P.B. thanks the DAE, Government of India, for the award of Raja Ramanna Fellowship.
© Springer India 2014.
- 3D Coulomb clusters
- Genetic algorithm
- Mutation intensity
- Mutation probability
- Simulated annealing