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PPSN
2004
Springer
15 years 10 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
171
Voted
ICTAI
2003
IEEE
15 years 10 months ago
A Diversity-Controlling Adaptive Genetic Algorithm for the Vehicle Routing Problem with Time Windows
This paper presents an adaptive genetic algorithm (GA) to solve the Vehicle Routing Problem with Time Windows (VRPTW) to near optimal solutions. The algorithm employs a unique dec...
Kenny Qili Zhu
153
Voted
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
15 years 10 months ago
Maximum Homologous Crossover for Linear Genetic Programming
We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar struc...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
EUROGP
2003
Springer
15 years 10 months ago
The Root Causes of Code Growth in Genetic Programming
This paper discusses the underlying pressures responsible for code growth in genetic programming, and shows how an understanding of these pressures can be used to use to eliminate...
Matthew J. Streeter
116
Voted
CEC
2009
IEEE
15 years 9 months ago
Glomerulus extraction by using genetic algorithm for edge patching
—Glomerulus is the filtering unit of the kidney. In the computer aided diagnosis system designed for kidney disease, glomerulus extraction is an important step for analyzing kidn...
Jiaxin Ma, Jingqiao Zhang, Jinglu Hu