In this paper we present a new mechanism for studying the impact of subtree crossover in terms of semantic building blocks. This approach allows us to completely and compactly describe the semantic action of crossover, and provide insight into what does (or doesn’t) make crossover effective. Our results make it clear that a very high proportion of crossover events (typically over 75% in our experiments) are guaranteed to perform no immediately useful search in the semantic space. Our findings also indicate a strong correlation between lack of progress and high proportions of fixed contexts. These results then suggest several new, theoretically grounded, research areas
Abstract We investigate the effects of semantically-based crossover operators in Ge-netic Programmin...
This paper identifies the limitations of conventional crossover in genetic algorithms when operating...
Problem-specific knowledge is often implemented in search algorithms using heuristics to determine w...
In this paper we present a new mechanism for studying the impact of subtree crossover in terms of se...
This report provides a collection of definitions for the semantics of sub-trees and contexts as mani...
Crossover forms one of the core operations in genetic programming and has been the subject of many d...
It is well-known that the crossover operator plays a very important role in genetic programming (GP...
Presented at KSE 2011, The Third International Conference on Knowledge and Systems Engineering, Hano...
One justification for the use of crossover operators in Genetic Programming is that the crossover of...
We investigate the effects of semantically-based crossover operators in genetic programming, applied...
In this paper, we apply the ideas from [2] to investigate the effect of some semantic based guidan...
Research on semantics in Genetic Programming (GP) has increased over the last number of years. Resul...
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April 2010This paper examines the i...
Abstract—Research on semantics in Genetic Programming (GP) has increased over the last number of yea...
We investigate the effects of semantically-based crossover operators in Genetic Programming, applied...
Abstract We investigate the effects of semantically-based crossover operators in Ge-netic Programmin...
This paper identifies the limitations of conventional crossover in genetic algorithms when operating...
Problem-specific knowledge is often implemented in search algorithms using heuristics to determine w...
In this paper we present a new mechanism for studying the impact of subtree crossover in terms of se...
This report provides a collection of definitions for the semantics of sub-trees and contexts as mani...
Crossover forms one of the core operations in genetic programming and has been the subject of many d...
It is well-known that the crossover operator plays a very important role in genetic programming (GP...
Presented at KSE 2011, The Third International Conference on Knowledge and Systems Engineering, Hano...
One justification for the use of crossover operators in Genetic Programming is that the crossover of...
We investigate the effects of semantically-based crossover operators in genetic programming, applied...
In this paper, we apply the ideas from [2] to investigate the effect of some semantic based guidan...
Research on semantics in Genetic Programming (GP) has increased over the last number of years. Resul...
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April 2010This paper examines the i...
Abstract—Research on semantics in Genetic Programming (GP) has increased over the last number of yea...
We investigate the effects of semantically-based crossover operators in Genetic Programming, applied...
Abstract We investigate the effects of semantically-based crossover operators in Ge-netic Programmin...
This paper identifies the limitations of conventional crossover in genetic algorithms when operating...
Problem-specific knowledge is often implemented in search algorithms using heuristics to determine w...