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CEC
2010
IEEE
13 years 6 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
13 years 11 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
13 years 9 months ago
Fitness function for finding out robust solutions on time-varying functions
Evolutionary Computations in dynamic/uncertain environments have attracted much attention. Studies regarding this research subjects can be classified into four categories: Noise, ...
Hisashi Handa
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
13 years 11 months ago
Minimum spanning trees made easier via multi-objective optimization
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Frank Neumann, Ingo Wegener
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...