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» On improving genetic programming for symbolic regression
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GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 12 months ago
Comparison of tree and graph encodings as function of problem complexity
In this paper, we analyze two general-purpose encoding types, trees and graphs systematically, focusing on trends over increasingly complex problems. Tree and graph encodings are ...
Michael D. Schmidt, Hod Lipson
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
13 years 9 months ago
Genetic programming for agricultural purposes
Nitrogen is one of the most important chemical intakes to ensure the healthy growth of agricultural crops. However, some environmental concerns emerge (soil and water pollution) w...
Clément Chion, Luis E. Da Costa, Jacques-An...
TEC
2008
139views more  TEC 2008»
13 years 5 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 9 days ago
Approximating geometric crossover in semantic space
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
Krzysztof Krawiec, Pawel Lichocki
ISSTA
2010
ACM
13 years 9 months ago
On test repair using symbolic execution
When developers change a program, regression tests can fail not only due to faults in the program but also due to outof-date test code that does not reflect the desired behavior ...
Brett Daniel, Tihomir Gvero, Darko Marinov