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GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 2 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
GECCO
2006
Springer
169views Optimization» more  GECCO 2006»
15 years 2 months ago
An open-set speaker identification system using genetic learning classifier system
This paper presents the design and implementation of an adaptive open-set speaker identification system with genetic learning classifier systems. One of the challenging problems i...
WonKyung Park, Jae C. Oh, Misty K. Blowers, Matt B...
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 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»
15 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»
15 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