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GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
14 years 2 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
14 years 2 months ago
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
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...
GECCO
2000
Springer
182views Optimization» more  GECCO 2000»
14 years 2 months ago
A Novel Evolvable Hardware Framework for the Evolution of High Performance Digital Circuits
This paper presents a novel evolvable hardware framework for the automated design of digital circuits for high performance applications. The technique evolves circuits correspondi...
Ben I. Hounsell, Tughrul Arslan
SAIG
2000
Springer
14 years 2 months ago
Compiling Embedded Languages
Abstract. Functional languages are particularly well-suited to the implementation of interpreters for domain-specific embedded languages (DSELs). We describe an implemented techniq...
Conal Elliott, Sigbjorn Finne, Oege de Moor
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
14 years 2 months ago
Robust symbolic regression with affine arithmetic
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...
Cassio Pennachin, Moshe Looks, João A. de V...