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GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 2 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
CEC
2007
IEEE
14 years 2 months ago
The application of evolutionary multi-criteria optimization to dynamic molecular alignment
— This study introduces the multi-criteria approach to the optimization of dynamic molecular alignment by shaped femtosecond laser pulses, which has been considered so far only a...
Ofer M. Shir, Michael Emmerich, Thomas Bäck, ...
CEC
2008
IEEE
14 years 2 months ago
Evolutionary Multi-objective Simulated Annealing with adaptive and competitive search direction
— In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature....
Hui Li, Dario Landa Silva
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 1 months ago
A multi-objective evolutionary approach to peptide structure redesign and stabilization
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
Tim Hohm, Daniel Hoffmann
RECSYS
2010
ACM
13 years 8 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street