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EUROGP
2004
Springer
106views Optimization» more  EUROGP 2004»
14 years 22 days ago
The Evolution of Concurrent Control Software Using Genetic Programming
Despite considerable progress in GP over the past 10 years, there are many outstanding challenges that need to be addressed before it will be widely deployed for developing useful ...
John Hart, Martin J. Shepperd
EUROGP
2006
Springer
136views Optimization» more  EUROGP 2006»
13 years 11 months ago
Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics
Abstract. To analyse various properties of the search process of genetic programming it is useful to quantify the distance between two individuals. Using operator-based distance me...
Leonardo Vanneschi, Steven Gustafson, Giancarlo Ma...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 1 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
13 years 10 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...
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
13 years 11 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...