One justification for the use of crossover operators in Genetic Programming is that the crossover of program syntax gives rise to the crossover of information at the semantic level. In particular, a fitness-increasing crossover is presumed to act by combining fitness-contributing components of both parents. In this paper we investigate a particular interpretation of this hypothesis via an experimental study of 70 GP runs, in which we categorise each crossover event by its fitness properties and the information that contributes most strongly to those fitness properties. Some tentative evidence in support of the above hypothesis is extracted from this categorisation
One of the most significant developments in genetic programming (GP) research in the last few years ...
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April 2010This paper examines the i...
In recent theoretical and experimental work on schemata in genetic programming we have proposed a ne...
Crossover forms one of the core operations in genetic programming and has been the subject of many d...
The role of crossover and mutation in Genetic Programming (GP) has been the subject of much debate s...
This paper presents a large and systematic body of data on the relative effectiveness of mutation, c...
In this paper we study and compare the search properties of different crossover operators in genetic...
Holland's analysis of the sources of power of genetic algorithms has served as guidance for the...
In this paper we present a new mechanism for studying the impact of subtree crossover in terms of se...
It is well-known that the crossover operator plays a very important role in genetic programming (GP...
International audienceInitially, Artificial Evolution focuses on Evolutionary Algorithms handling so...
In recent theoretical and experimental work on schemata in genetic programming we have proposed a ne...
Research on semantics in Genetic Programming (GP) has increased over the last number of years. Resul...
Abstract—Research on semantics in Genetic Programming (GP) has increased over the last number of yea...
In this paper, we apply the ideas from [2] to investigate the effect of some semantic based guidan...
One of the most significant developments in genetic programming (GP) research in the last few years ...
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April 2010This paper examines the i...
In recent theoretical and experimental work on schemata in genetic programming we have proposed a ne...
Crossover forms one of the core operations in genetic programming and has been the subject of many d...
The role of crossover and mutation in Genetic Programming (GP) has been the subject of much debate s...
This paper presents a large and systematic body of data on the relative effectiveness of mutation, c...
In this paper we study and compare the search properties of different crossover operators in genetic...
Holland's analysis of the sources of power of genetic algorithms has served as guidance for the...
In this paper we present a new mechanism for studying the impact of subtree crossover in terms of se...
It is well-known that the crossover operator plays a very important role in genetic programming (GP...
International audienceInitially, Artificial Evolution focuses on Evolutionary Algorithms handling so...
In recent theoretical and experimental work on schemata in genetic programming we have proposed a ne...
Research on semantics in Genetic Programming (GP) has increased over the last number of years. Resul...
Abstract—Research on semantics in Genetic Programming (GP) has increased over the last number of yea...
In this paper, we apply the ideas from [2] to investigate the effect of some semantic based guidan...
One of the most significant developments in genetic programming (GP) research in the last few years ...
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April 2010This paper examines the i...
In recent theoretical and experimental work on schemata in genetic programming we have proposed a ne...