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GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
15 years 7 months ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
16 years 6 days ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
JUCS
2007
208views more  JUCS 2007»
15 years 6 months ago
The Architecture and Circuital Implementation Scheme of a New Cell Neural Network for Analog Signal Processing
: It is a difficult problem that using cellular neural network to make up of analog signal processing circuit. This paper presented the architecture of new cellular neural network ...
Youren Wang, Zhiqiang Zhang, Jiang Cui
TEC
2008
100views more  TEC 2008»
15 years 6 months ago
Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution of populations is...
Ernesto Mininno, Francesco Cupertino, David Naso
GECCO
2010
Springer
210views Optimization» more  GECCO 2010»
15 years 11 months ago
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Cardiomyopathy refers to diseases of the heart muscle that becomes enlarged, thick, or rigid. These changes affect the electrical stability of the myocardial cells, which in turn ...
Mirela Ovreiu, Dan Simon