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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
14 years 25 days ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
14 years 25 days ago
Optimizing of NC tool paths for five-axis milling using evolutionary algorithms on wavelets
Computer aided NC-path generation of five-axis milling using a standard CAM-system does usually not take machine dynamics and kinematics into account. This results in machine move...
Klaus Weinert, Andreas Zabel, Heinrich Müller...
JUCS
2010
157views more  JUCS 2010»
13 years 7 months ago
Entropy Optimization of Social Networks Using an Evolutionary Algorithm
: Recent work on social networks has tackled the measurement and optimization of these networks’ robustness and resilience to both failures and attacks. Different metrics have be...
Maytham Safar, Nosayba El-Sayed, Khaled Mahdi, Dav...
SEAL
2010
Springer
13 years 7 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb