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GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
14 years 1 months ago
Improving particle swarm optimization with differentially perturbed velocity
This paper introduces a novel scheme of improving the performance of particle swarm optimization (PSO) by a vector differential operator borrowed from differential evolution (DE)....
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
IJHIS
2006
104views more  IJHIS 2006»
13 years 7 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
TSMC
2011
355views more  TSMC 2011»
13 years 2 months ago
Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey
—Wireless sensor networks (WSNs) are networks of autonomous nodes used for monitoring an environment. Developers of WSNs face challenges that arise from communication link failur...
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
CIBCB
2005
IEEE
14 years 1 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 1 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon