A LH-DM Strategy Based Particle Swarm Optimization Algorithm
- W. Liu, J. Zhou
- Corresponding Author
- W. Liu
Available Online June 2015.
- https://doi.org/10.2991/cisia-15.2015.15How to use a DOI?
- premature convergence; dynamic mutation; particle diversity
- Aiming at the premature problem of the Particle Swarm Optimization (PSO), an improved algorithm based on dynamic mutation strategy named Lowdiversity and Highdiversity Dual Mutation Factors Particle Swarm Optimization (LH-DMPSO) was proposed. The dynamic mutation strategy enhanced particle diversity, avoid falling into local optimal position, simulation results based on the Benchmark functions shows that the improved algorithm exceeds the standard PSO and Gaussian Mutation Particle Swarm Optimization (GMPSO) on convergence and stability.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - W. Liu AU - J. Zhou PY - 2015/06 DA - 2015/06 TI - A LH-DM Strategy Based Particle Swarm Optimization Algorithm BT - International Conference on Computer Information Systems and Industrial Applications PB - Atlantis Press UR - https://doi.org/10.2991/cisia-15.2015.15 DO - https://doi.org/10.2991/cisia-15.2015.15 ID - Liu2015/06 ER -