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SOCO
2007
Springer
15 years 6 months ago
Patterns of Component Evolution
Contemporary software systems are composed of many components, which, in general, undergo phased and incremental development. In order to facilitate the corresponding construction ...
Rajesh Vasa, Markus Lumpe, Jean-Guy Schneider
95
Voted
IPPS
2002
IEEE
15 years 5 months ago
Monte Carlo Simulation of HIV-1 Evolution in Response to Selection by Antibodies
The persistence of human immunodeficiency virus type 1 (HIV-1) infection may be in part attributed to its ability to evolve to evade neutralizing antibody (NAb) surveillance. We h...
Jack da Silva, Austin L. Hughes
94
Voted
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 1 months ago
Avida-MDE: a digital evolution approach to generating models of adaptive software behavior
Increasingly, high-assurance applications rely on autonomic systems to respond to changes in their environment. The inherent uncertainty present in the environment of autonomic sy...
Heather Goldsby, Betty H. C. Cheng
NCA
2007
IEEE
15 years 2 days ago
Using evolution to improve neural network learning: pitfalls and solutions
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
John A. Bullinaria
89
Voted
TEC
2011
134views more  TEC 2011»
14 years 7 months ago
Differential Evolution: A Survey of the State-of-the-Art
—Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational step...
Swagatam Das, Ponnuthurai Nagaratnam Suganthan