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IEICET
2010
96views more  IEICET 2010»
14 years 8 months ago
An Unsupervised Optimization of Structuring Elements for Noise Removal Using GA
—To recover texture images from impulse noise by the opening operation which is one of morphological operations, an suitable structuring element (SE) has to be estimated. Hithert...
Hiroyuki Okuno, Yoshiko Hanada, Mitsuji Muneyasu, ...
CEC
2005
IEEE
15 years 3 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
CEC
2011
IEEE
13 years 9 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
15 years 2 months ago
Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution
Understanding the hierarchical relationships among biochemical, metabolic, and physiological systems in the mapping between genotype and phenotype is expected to improve the diagno...
Jason H. Moore, Lance W. Hahn
KES
1999
Springer
15 years 1 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli