We provide strong theoretical and experimental evidence that standard sub-tree crossover with uniform selection of crossover points pushes a population of a-ary GP trees towards a distribution of tree sizes of the form: [see document for formula] where n is the number of internal nodes in a tree and pa is a constant. This result generalises the result previously reported in [7, 10, 8, 9] for the case a = 1
Abstract. A series of simple biases to the selection of crossover points in tree-structured genetic ...
In this paper we study and compare the search properties of different crossover operators in genetic...
This thesis presents an analysis of the selection process in tree-based Genetic Programming (GP), co...
We provide strong theoretical and experimental evidence that standard sub-tree crossover with unifor...
We provide strong theoretical and experimental evidence that standard sub-tree crossover with unifor...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
Proceeding of: 12th European Conference, EuroGP 2009, Tübingen, Germany, April 15-17In Genetic Progr...
Size fair crossover genetic operator for tree based genetic programming is described and tested. It ...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
One characteristic tendency of genetic programming is the production of considerably larger trees th...
Abstract. In this paper we examine the effects of single node mutations on trees evolved via genetic...
This article studies the sub-tree operators: mutation and crossover, within the context of Genetic ...
Using multiobjective genetic programming with a complexity objective to overcome tree bloat is usual...
We present a detailed analysis of the evolution of GP populations using the problem of finding a pro...
Fitness distributions (landscapes) of programs tend to a limit as they get bigger. Markov chain conv...
Abstract. A series of simple biases to the selection of crossover points in tree-structured genetic ...
In this paper we study and compare the search properties of different crossover operators in genetic...
This thesis presents an analysis of the selection process in tree-based Genetic Programming (GP), co...
We provide strong theoretical and experimental evidence that standard sub-tree crossover with unifor...
We provide strong theoretical and experimental evidence that standard sub-tree crossover with unifor...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
Proceeding of: 12th European Conference, EuroGP 2009, Tübingen, Germany, April 15-17In Genetic Progr...
Size fair crossover genetic operator for tree based genetic programming is described and tested. It ...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
One characteristic tendency of genetic programming is the production of considerably larger trees th...
Abstract. In this paper we examine the effects of single node mutations on trees evolved via genetic...
This article studies the sub-tree operators: mutation and crossover, within the context of Genetic ...
Using multiobjective genetic programming with a complexity objective to overcome tree bloat is usual...
We present a detailed analysis of the evolution of GP populations using the problem of finding a pro...
Fitness distributions (landscapes) of programs tend to a limit as they get bigger. Markov chain conv...
Abstract. A series of simple biases to the selection of crossover points in tree-structured genetic ...
In this paper we study and compare the search properties of different crossover operators in genetic...
This thesis presents an analysis of the selection process in tree-based Genetic Programming (GP), co...