In this paper we investigate the application of Tree-Adjunct Grammars to Grammatical Evolution. The standard type of grammar used by grammatical evolution, context-free grammars, produce a subset of the languages that ...
Representation is a very important component of any evolutionary algorithm. Changing the representation can cause an algorithm to perform very differently. Such a change can have an effect that is difficult to understand. ...
The lack of study of genetic programming in dynamic environments is recognised as a known issue in the field of genetic programming. This study compares the performance of two forms of genetic programming, grammatical ...
Grammar formalisms are one of the key representation structures in Computer Science. So it is not surprising that they have also become important as a method for formalizing constraints in Genetic Programming (GP). Practical ...
Modularity has proven to be an important aspect of evolutionary computation. This work is concerned with discovering and using modules in one form of grammar-based genetic programming, grammatical evolution (GE). Previous ...
This paper investigates what is specifically nominal in lexical semantics and how it relates to nouns as morphosyntactic objects. Nouns are argued to refer primarily to kind-level sorts, which define categories of entities ...
Falling trees pose a great hazard to the safe and uninterrupted use of the road transportation system, during storm events. The present process of manually identifying potentially hazardous trees is laborious and inefficient. ...
This work furthers the understanding of modularity in grammar-based genetic programming approaches by analyzing how different grammars may be capable of producing the same phenotypes, but still display differences in ...
Decision tree learning is one of the most widely used and practical methods for inductive inference. We present a novel method that increases the generalisation of genetically-induced classification trees, which employ ...