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ECAL
1995
Springer
13 years 11 months ago
Evolving Artificial Neural Networks that Develop in Time
Although recently there has been an increasing interest in studing genetically-based development using Artificial Life models, the mapping of the genetic information into the phen...
Stefano Nolfi, Domenico Parisi
CSMR
2000
IEEE
14 years 4 days ago
A Proposal for Supporting Software Evolution in Componentware
In practice, a pure top-down and refinement-based development process is not applicable. A more iterative and incremental approach is usually applied with respect to changing req...
Andreas Rausch
SIGGRAPH
1995
ACM
13 years 11 months ago
Depicting fire and other gaseous phenomena using diffusion processes
Developing a visually convincing model of fire, smoke, and other gaseousphenomenais among the most difficult and attractive problems in computer graphics. We have created new me...
Jos Stam, Eugene Fiume
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
13 years 8 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...
HIS
2007
13 years 9 months ago
Genetic Programming meets Model-Driven Development
Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hard...
Thomas Weise, Michael Zapf, Mohammad Ullah Khan, K...