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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 3 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
EVOW
1994
Springer
15 years 1 months ago
Competitive Evolution: A Natural Approach to Operator Selection
One of the main problems in applying evolutionary optimisation methods is the choice of operators and parameter values. This paper propose a competitive evolution method, in which ...
Q. Tuan Pham
ICCS
2005
Springer
15 years 3 months ago
Managing Heterogeneity in a Grid Parallel Haskell
Computational Grids potentially offer cheap large-scale high-performance systems, but are a very challenging architecture, being heterogeneous, shared and hierarchical. Rather tha...
Abdallah Al Zain, Philip W. Trinder, Hans-Wolfgang...
AIEDU
2004
105views more  AIEDU 2004»
14 years 9 months ago
Evaluating the REDEEM Authoring Tool: Can Teachers Create Effective Learning Environments?
The REDEEM authoring environment allows teachers to create learning environments from existing computer-based training (CBT) by imposing their pedagogical preferences about how stu...
Shaaron Ainsworth, Shirley Grimshaw
ICPR
2008
IEEE
15 years 10 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague