The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
L. Darrell Whitley, Marc D. Richards, J. Ross Beve...
This paper presents a novel evolvable hardware framework for the automated design of digital circuits for high performance applications. The technique evolves circuits correspondi...
Abstract. Functional languages are particularly well-suited to the implementation of interpreters for domain-specific embedded languages (DSELs). We describe an implemented techniq...
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...