Article ID Journal Published Year Pages File Type
6905807 Applied Soft Computing 2014 20 Pages PDF
Abstract

- A PSO variant, abbreviated as PSO-ATVTC is developed.
- An ATVTC module is developed to achieve better balance of global/local searches.
- A new learning framework is proposed to improve algorithm's searching performance.
- PSO-ATVTC has competitive searching accuracy and convergence speed in optimization.
- Results show that PSO-ATVTC outperforms other PSO variants and MS algorithms.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
, ,