Parallel global optimization with the particle swarm algorithm
β Scribed by J. F. Schutte; J. A. Reinbolt; B. J. Fregly; R. T. Haftka; A. D. George
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 291 KB
- Volume
- 61
- Category
- Article
- ISSN
- 0029-5981
- DOI
- 10.1002/nme.1149
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Novel implementation of the evolutionary approach known as particle swarm optimization (PSO) capable of finding the global minimum of the potential energy surface of atomic assemblies is reported. This is the first time the PSO technique has been used to perform global optimization of m
## Abstract The Particle Swarm Optimization method is one of the most powerful optimization methods available for solving global optimization problems. However, knowledge of adaptive strategies for tuning the parameters of the method for application to largeβscale nonlinear nonconvex optimization p