Add to ORKGWe investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that learn the repeating unit string of a given regular binary pattern string and can reproduce the learnt pattern to an arbitrary size, specified by a parameter N. We discovered that this particular problem, where the solution needs to scale with multiple size-instances of the problem, is very hard to solve without the help of domain knowledge
We extend our analysis of repetitive patterns found in genetic programming genomes to tree based GP....
This thesis considers the problem of mining patterns in strings. Informally, this is the problem of ...
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms...
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, c...
We present two methods to represent and use parameterised indexed FOR-loops in genetic programming. ...
Abstract — At the current state of the art, genetic programs do not contain two constructs that comm...
Abstract — Evolving programs with explicit loops presents ma-jor difficulties, primarily due to the ...
Loops are rarely used in genetic programming (GP), because they lead to massive computation due to t...
In this paper we analyse the reasons why evolving programs with a restricted form of loops is superi...
Genetic programming is an approach that utilises the power of evolution to allow computers to evolve...
Abstract. We extend our analysis of repetitive patterns found in genetic programming genomes to tree...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
This thesis principally addresses some problems in genetic programming (GP) and grammar-guided genet...
Abstract—The synthesis of exact integer algorithms is a hard task for Genetic Programming (GP), as i...
Loop is an important structure in human written programs. However, it is seldom used in the evolved ...
We extend our analysis of repetitive patterns found in genetic programming genomes to tree based GP....
This thesis considers the problem of mining patterns in strings. Informally, this is the problem of ...
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms...
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, c...
We present two methods to represent and use parameterised indexed FOR-loops in genetic programming. ...
Abstract — At the current state of the art, genetic programs do not contain two constructs that comm...
Abstract — Evolving programs with explicit loops presents ma-jor difficulties, primarily due to the ...
Loops are rarely used in genetic programming (GP), because they lead to massive computation due to t...
In this paper we analyse the reasons why evolving programs with a restricted form of loops is superi...
Genetic programming is an approach that utilises the power of evolution to allow computers to evolve...
Abstract. We extend our analysis of repetitive patterns found in genetic programming genomes to tree...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
This thesis principally addresses some problems in genetic programming (GP) and grammar-guided genet...
Abstract—The synthesis of exact integer algorithms is a hard task for Genetic Programming (GP), as i...
Loop is an important structure in human written programs. However, it is seldom used in the evolved ...
We extend our analysis of repetitive patterns found in genetic programming genomes to tree based GP....
This thesis considers the problem of mining patterns in strings. Informally, this is the problem of ...
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms...