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» Potential fitness for genetic programming
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PPSN
2010
Springer
13 years 5 months ago
Using Co-solvability to Model and Exploit Synergetic Effects in Evolution
Abstract. We introduce, analyze, and experimentally examine co-solvability, an ability of a solution to solve a pair of fitness cases (tests). Based on this concept, we devise a co...
Krzysztof Krawiec, Pawel Lichocki
GPEM
2002
109views more  GPEM 2002»
13 years 7 months ago
Some Considerations on the Reason for Bloat
A representation-less model for genetic programming is presented. The model is intended to examine the mechanisms that lead to bloat in genetic programming (GP). We discuss two hyp...
Wolfgang Banzhaf, William B. Langdon
EUROGP
2007
Springer
144views Optimization» more  EUROGP 2007»
14 years 1 months ago
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
This work analyzes fitness landscapes for the image filter design problem approached using functional-level Cartesian Genetic Programming. Smoothness and ruggedness of fitness l...
Karel Slaný, Lukás Sekanina
FLAIRS
2008
13 years 10 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
EUROGP
2000
Springer
13 years 11 months ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
William B. Langdon, Peter Nordin