Linear genetic programming

Known as: Linear tree 
Linear genetic programming (LGP) is a particular subset of genetic programming wherein computer programs in a population are represented as a… (More)
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Topic mentions per year

Topic mentions per year

1977-2018
05101519772018

Papers overview

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2007
2007
We suggest a flavour of linear Genetic Programming indomain-specific languages that acts as a hyperheuristic (HH). 
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Highly Cited
2005
Highly Cited
2005
A new model for evolving Evolutionary Algorithms is proposed in this paper. The model is based on the Linear Genetic Programming… (More)
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2005
2005
Biological chromosomes are replete with repetitive sequences, microsatellites, SSR tracts, ALU, and so on, in their DNA base… (More)
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2004
2004
The thesis is about linear genetic programming (LGP), a machine learning approach that evolves computer programs as sequences of… (More)
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2003
2003
Page-based Linear Genetic Programming (GP) is proposed and implemented with two-layer Subset Selection to address a two-class… (More)
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2003
2003
A comparison between four evolutionary techniques for solving symbolic regression problems is presented in this paper. The… (More)
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2003
2003
We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to… (More)
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Highly Cited
2001
Highly Cited
2001
This paper applies the evolution of GP teams to different classification and regression problems and compares different methods… (More)
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Highly Cited
2001
Highly Cited
2001
We introduce a new form of linear genetic programming (GP). Two methods of acceleration of our GP approach are discussed: 1) an… (More)
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2000
2000
This work explores strategy learning through genetic programming in artificial ‘ants’ that navigate the San Mateo trail. We… (More)
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