Abstract
Brain storm optimization (BSO) is a novel population-based swarm intelligence algorithm based on the human brainstorming process. BSO has been proven feasible and has been successfully applied to benchmark problems in the electromagnetic field. In this paper, inspired by the mechanism of quantum theories, a novel variant of BSO algorithm, called quantum-behaved BSO (QBSO), is proposed to solve an optimization problem modeled for Loney's solenoid problem. The new mechanism improves the diversity of population and also utilizes the global information to generate the new individual. Simulation results show that QBSO has better ability to jump out of local optima and perform better compared with the basic BSO.
| Original language | English |
|---|---|
| Article number | 6827252 |
| Journal | IEEE Transactions on Magnetics |
| Volume | 51 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2015 |
Keywords
- Brain storm optimization (BSO)
- optimization
- optimization benchmark problem
- quantum-behaved
Fingerprint
Dive into the research topics of 'Quantum-behaved brain storm optimization approach to solving Loney's solenoid problem'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver