A bi-population QUasi-Affine TRansformation Evolution algorithm for global optimization and its application to dynamic deployment in wireless sensor networks

A bi-population QUasi-Affine TRansformation Evolution algorithm for global optimization and its application to dynamic deployment in wireless sensor networks

Abstract In this paper, we propose a new Bi-Population QUasi-Affine TRansformation Evolution (BP-QUATRE) algorithm for global optimization. The proposed BP-QUATRE algorithm divides the population into two subpopulations with sort strategy, and each subpopulation adopts a different mutation strategy...

Full description

Bibliographic Details
Main Authors: Nengxian Liu, Jeng-Shyang Pan, Trong-The Nguyen
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Differential evolution
Particle swarm optimization
Bi-population
QUATRE algorithm
Global optimization
Dynamic deployment
Online Access:http://link.springer.com/article/10.1186/s13638-019-1481-6

Internet

http://link.springer.com/article/10.1186/s13638-019-1481-6

Similar Items