Loading...
Please wait, while we are loading the content...
Similar Documents
Minimizing Lennard-Jones potential using a real coded Genetic Algorithm and Particle Swarm Optimization
| Content Provider | Semantic Scholar |
|---|---|
| Author | Deep, Kusum Katiyar, V. K. |
| Copyright Year | 2011 |
| Abstract | In this paper a recently developed real coded genetic algorithm called MI-LXPM of Deep et al. (8) and Particle Swarm Optimization (PSO) are applied to the challenging problem of finding the minimum energy configuration of a cluster of identical atoms interacting through the Lennard-Jones potential. Finding the global minimum of this function is very difficult because it has a large number of local minima, which grows exponentially with molecule size. Computational results for a cluster containing up to 15 atoms are obtained and presented. The obtained results show the remarkable performance of MI-LXPM as compared to PSO and to the earlier published results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.worldacademicunion.com/journal/1746-7233WJMS/wjmsvol07no04paper08.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
