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110
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GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
15 years 3 months ago
Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation
An evolutionary synthesis method to design low-sensitivity IIR filters with linear phase in the passband is presented. The method uses a chromosome coding scheme based on the grap...
Leonardo Bruno de Sá, Antonio Carneiro Mesq...
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 3 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
130
Voted
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 8 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»
15 years 6 months 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...
ICNC
2005
Springer
15 years 7 months ago
On Evolutionary Optimization of Large Problems Using Small Populations
Abstract. Small populations are very desirable for reducing the required computational resources in evolutionary optimization of complex real-world problems. Unfortunately, the sea...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff