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HAIS
2009
Springer
13 years 10 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
BMCBI
2006
119views more  BMCBI 2006»
13 years 5 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
TEC
2010
112views more  TEC 2010»
13 years 1 days ago
Population-Based Algorithm Portfolios for Numerical Optimization
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
13 years 11 months ago
Experimental analysis of binary differential evolution in dynamic environments
Many real-world optimization problems are dynamic in nature. The interest in the Evolutionary Algorithms (EAs) community in applying EA variants to dynamic optimization problems h...
Alp Emre Kanlikilicer, Ali Keles, Sima Uyar
CSSE
2002
IEEE
13 years 5 months ago
Characteristics of assured service and an alternative RIO scheme in differentiated services networks
Assured Service, a service model of Internet Differentiated Services (DiffServ) architecture, is not so well accommodated by the current Internet environment. This is because the I...
Seung-Joon Seok, Sung-Hyuck Lee, Jinwoo Park, Chul...