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CEC
2009
IEEE
15 years 8 months ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
CHI
2009
ACM
15 years 8 months ago
Adaptive information search: age-dependent interactions between cognitive profiles and strategies
Previous research has shown that older adults performed worse in web search tasks, and attributed poorer performance to a decline in their cognitive abilities. We conducted a stud...
Jessie Chin, Wai-Tat Fu, Thomas George Kannampalli...
108
Voted
DESRIST
2009
Springer
143views Education» more  DESRIST 2009»
15 years 8 months ago
Designing for complex innovations in health care: design theory and realist evaluation combined
Innovations in health care are often characterized by complexity and fuzzy boundaries, involving both the elements of the innovation and the organizational structure required for ...
Christina Keller, Klas Gäre, Mats Edenius, St...
175
Voted
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 8 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
DAWAK
2001
Springer
15 years 8 months ago
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
Peter Bollmann-Sdorra, Aladdin Hafez, Vijay V. Rag...
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