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ITICSE
1997
ACM
15 years 11 months ago
A genetic algorithms tutorial tool for numerical function optimisation
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...
Edmund K. Burke, D. B. Varley
GECCO
2000
Springer
131views Optimization» more  GECCO 2000»
15 years 10 months ago
A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization
The integration of genetic algorithms (GAs) and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utili...
Setsuya Kurahashi, Takao Terano
AAAI
2006
15 years 8 months ago
Quantifying the Impact of Learning Algorithm Parameter Tuning
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Niklas Lavesson, Paul Davidsson
FSS
2006
114views more  FSS 2006»
15 years 7 months ago
Fuzzy logic based variable step size algorithm for blind delayed source separation
Convergence of blind delayed source separation algorithms, which use constant learning rates, is known to be slow. We propose a fuzzy logic based approach to adaptively select the...
Vivek Nigam, Roland Priemer
TCBB
2008
82views more  TCBB 2008»
15 years 7 months ago
Efficient Algorithms to Explore Conformation Spaces of Flexible Protein Loops
Two efficient and complementary sampling algorithms are presented to explore the space of closed clash-free conformations of a flexible protein loop. The "seed sampling" ...
Peggy Yao, Ankur Dhanik, Nathan Marz, Ryan Propper...