Size fair crossover genetic operator for tree based genetic programming is described and tested. It produces considerably reduced increases in program size and no detrimental effect on GP performance. GP search spaces are partitioned by the ridge in the number of program v. their size and depth. A ramped uniform random initialisation is described which straddles the ridge. With subtree crossover trees increase about one level per generation leading to sub-quadratic bloat in length
Holland's analysis of the sources of power of genetic algorithms has served as guidance for the...
This paper introduces two new crossover operators for Genetic Programming (GP). Contrary to the regu...
Abstract. In this paper we examine the effects of single node mutations on trees evolved via genetic...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
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...
Proceeding of: 12th European Conference, EuroGP 2009, Tübingen, Germany, April 15-17In Genetic Progr...
Abstract. A series of simple biases to the selection of crossover points in tree-structured genetic ...
Abstract. We extend our analysis of repetitive patterns found in genetic programming genomes to tree...
We provide strong theoretical and experimental evidence that standard sub-tree crossover with unifor...
This paper discusses and compares five major tree-generation algorithms for genetic programming, and...
In recent years different genetic programming (GP) structures have emerged. Today, the basic forms ...
This paper presents an approach to solve the parsimony, or a tree size growth, problem in Genetic Pr...
Genetic programming (GP) has been successfully applied to solving multiclass classification problems...
Holland's analysis of the sources of power of genetic algorithms has served as guidance for the...
This paper introduces two new crossover operators for Genetic Programming (GP). Contrary to the regu...
Abstract. In this paper we examine the effects of single node mutations on trees evolved via genetic...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
Size fair and homologous crossover genetic operators for tree based genetic programming are describe...
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...
Proceeding of: 12th European Conference, EuroGP 2009, Tübingen, Germany, April 15-17In Genetic Progr...
Abstract. A series of simple biases to the selection of crossover points in tree-structured genetic ...
Abstract. We extend our analysis of repetitive patterns found in genetic programming genomes to tree...
We provide strong theoretical and experimental evidence that standard sub-tree crossover with unifor...
This paper discusses and compares five major tree-generation algorithms for genetic programming, and...
In recent years different genetic programming (GP) structures have emerged. Today, the basic forms ...
This paper presents an approach to solve the parsimony, or a tree size growth, problem in Genetic Pr...
Genetic programming (GP) has been successfully applied to solving multiclass classification problems...
Holland's analysis of the sources of power of genetic algorithms has served as guidance for the...
This paper introduces two new crossover operators for Genetic Programming (GP). Contrary to the regu...
Abstract. In this paper we examine the effects of single node mutations on trees evolved via genetic...