Back to Search
Start Over
A Multiswarm Optimizer for Distributed Decision Making in Virtual Enterprise Risk Management
- Source :
- Discrete Dynamics in Nature and Society, Vol 2012 (2012)
- Publication Year :
- 2012
- Publisher :
- Hindawi Limited, 2012.
-
Abstract
- We develop an optimization model for risk management in a virtual enterprise environment based on a novel multiswarm particle swarm optimizer called PS2O. The main idea of PS2O is to extend the single population PSO to the interacting multiswarms model by constructing hierarchical interaction topology and enhanced dynamical update equations. With the hierarchical interaction topology, a suitable diversity in the whole population can be maintained. At the same time, the enhanced dynamical update rule significantly speeds up the multiswarm to converge to the global optimum. With five mathematical benchmark functions, PS2O is proved to have considerable potential for solving complex optimization problems. PS2O is then applied to risk management in a virtual enterprise environment. Simulation results demonstrate that the PS2O algorithm is more feasible and efficient than the PSO algorithm in solving this real-world problem.
- Subjects :
- Mathematics
QA1-939
Subjects
Details
- Language :
- English
- ISSN :
- 10260226 and 1607887X
- Volume :
- 2012
- Database :
- Directory of Open Access Journals
- Journal :
- Discrete Dynamics in Nature and Society
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.0e4b685a5e63464daaedd66ea88fa539
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2012/904815