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GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 26 days ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan
CORR
2008
Springer
156views Education» more  CORR 2008»
13 years 9 months ago
Artificial Immune Systems (AIS) - A New Paradigm for Heuristic Decision Making
Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annea...
Uwe Aickelin
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 1 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
FSS
2010
147views more  FSS 2010»
13 years 7 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...