Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
‘‘Industrial strength’’ software development environments (SDEs) must provide facilities to address three essential properties of multi-developer software systems: evoluti...
With the spread of the Internet and software evolution in complex intensive systems, software architecture often need be reconfigured during runtime to adapt variable environments...
To successfully apply evolutionary algorithms to the solution of increasingly complex problems, we must develop effective techniques for evolving solutions in the form of interact...
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...