Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905785 | Applied Soft Computing | 2014 | 22 Pages |
Abstract
- IGSA that employs personal best memory and chaotic perturbation is proposed.
- Stability condition of the IGSA is analyzed based on linear system theory.
- Global convergence of the IGSA is presented using stochastic process method.
- Sensitivity analysis of parameters for IGSA is discussed on test functions.
- Comparative experiments are performed to evaluate performance of the IGSA.
- Results show IGSA outperforms other heuristic algorithms and GSA variants.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Shanhe Jiang, Yan Wang, Zhicheng Ji,