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» Applying particle swarm optimization to software testing
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CEC
2008
IEEE
15 years 6 months ago
New evaluation criteria for the convergence of continuous evolutionary algorithms
—The first hitting time (FHT) plays an important role in convergence evaluation for evolutionary algorithms. However, the current criteria of the FHT are mostly under a hypothesi...
Ying Lin, Jian Huang, Jun Zhang
APWEB
2006
Springer
15 years 3 months ago
Energy-Efficient Deployment of Mobile Sensor Networks by PSO
Abstract. Sensor deployment is an important issue in designing sensor networks. In this paper, particle swarm optimization (PSO) approach is applied to maximize the coverage based ...
Xiaoling Wu, Shu Lei, Jin Wang, Jinsung Cho, Sungy...
ICC
2007
IEEE
131views Communications» more  ICC 2007»
15 years 6 months ago
Experimental Deployment of Particle Filters in WiFi Networks
— Location tracking in wireless networks has many applications, including enhanced network performance. In this work we investigate the experimental use of “particle filter”...
Zawar Shah, Robert A. Malaney, Xun Wei, Keith Tai
IJHIS
2006
104views more  IJHIS 2006»
14 years 11 months ago
Incremental evolution strategy for function optimization
This paper presents a novel evolutionary approach for function optimization Incremental Evolution Strategy (IES). Two strategies are proposed. One is to evolve the input variables...
Sheng Uei Guan, Wenting Mo
CEC
2008
IEEE
15 years 27 days ago
A technique for the visualization of population-based algorithms
— A technique for the visualization of stochastic population–based algorithms in multidimensional problems with known global minimizers is proposed. The technique employs proje...
Konstantinos E. Parsopoulos, Voula C. Georgopoulos...