Brain Storm Optimization Algorithm with Re-initialized Ideas and Adaptive Step Size
Brain Storm Optimization (BSO) is a recently developed population-based algorithm to mimic the brainstorming process in humans. It has been successfully applied in the domain of non-linear continuous optimization. In this work, we propose enhancing the performance of BSO by introducing a re-initiali...
Saved in:
| Main Author: | El-Abd, Mohammed (author) |
|---|---|
| Published: |
2016
|
| Online Access: | http://ieeexplore.ieee.org/document/7744125/ http://hdl.handle.net/11675/3001 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Brain Storm Optimization Algorithm
by: El-Abd, Mohammed
Published: (2021) -
Global-best Brain Storm Optimization Algorithm
by: El-Abd, Mohammed
Published: (2018) -
Enhancing the Local Search Ability of the Brain Storm Optimization Algorithm by Covariance Matrix Adaptation
by: El-Abd, Mohammed
Published: (2019) -
Cooperative Co-evolution using The Brain Storm Optimization Algorithm
by: El-Abd, Mohammed
Published: (2016) -
Parallel hardware implementation of the brain storm optimization algorithm using FPGAs
by: El-Abd, Mohammed
Published: (2020)