Starting from the model proposed by means of Grammatical Evolution, we extend the applicability of the parallel and cooperative searching processes of Evolutionary Algorithms to a new topic: Tree Adjoining Grammar parsing. We evolved derived trees using a string-tree-representation.We also used a linear matching function to compare the yield of a derived tree with a given input. The running tests presented several encouraging results. A post running analysis allowed us to propose several research directions for extending the currently known computational mechanisms in the mildly context sensitive class of languages
Congress on Evolutionary Computation. Singapore, 25-28 September 2007Grammatical evolution is an evo...
Congress on Evolutionary Computation. Singapore, 25-28 September 2007Grammatical evolution is an evo...
This paper describes an approach for evolving natural language grammars using a genetic algorithm, ...
Abstract: We use evolutionary algorithms to speed up a rather complex process, the tree adjoining gr...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
IEEE Congress on Evolutionary Computation (CEC 2006), Vancouver, British Columbia, Canada, 16-21 Jul...
Evolutionary algorithms are a competent nature-inspired approach for complex computational problem s...
This paper explores an area within Evolutionary Computation called Grammatical Evolution [8]. This a...
This thesis describes new evolutionary artificial intelligence methods suitable for solving complex ...
Abstract — In this paper we investigate the application of Tree-Adjunct Grammars (TAG) to Grammatica...
Grammatical evolution (GE) is a recent grammar-based approach to genetic programming that allows dev...
A long-standing problem in Evolutionary Computation consists in how to choose an appropriate represe...
This thesis proposes a new representation for genetic algorithms, based on the idea of a genotype to...
Congress on Evolutionary Computation. Singapore, 25-28 September 2007Grammatical evolution is an evo...
Congress on Evolutionary Computation. Singapore, 25-28 September 2007Grammatical evolution is an evo...
Congress on Evolutionary Computation. Singapore, 25-28 September 2007Grammatical evolution is an evo...
This paper describes an approach for evolving natural language grammars using a genetic algorithm, ...
Abstract: We use evolutionary algorithms to speed up a rather complex process, the tree adjoining gr...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
IEEE Congress on Evolutionary Computation (CEC 2006), Vancouver, British Columbia, Canada, 16-21 Jul...
Evolutionary algorithms are a competent nature-inspired approach for complex computational problem s...
This paper explores an area within Evolutionary Computation called Grammatical Evolution [8]. This a...
This thesis describes new evolutionary artificial intelligence methods suitable for solving complex ...
Abstract — In this paper we investigate the application of Tree-Adjunct Grammars (TAG) to Grammatica...
Grammatical evolution (GE) is a recent grammar-based approach to genetic programming that allows dev...
A long-standing problem in Evolutionary Computation consists in how to choose an appropriate represe...
This thesis proposes a new representation for genetic algorithms, based on the idea of a genotype to...
Congress on Evolutionary Computation. Singapore, 25-28 September 2007Grammatical evolution is an evo...
Congress on Evolutionary Computation. Singapore, 25-28 September 2007Grammatical evolution is an evo...
Congress on Evolutionary Computation. Singapore, 25-28 September 2007Grammatical evolution is an evo...
This paper describes an approach for evolving natural language grammars using a genetic algorithm, ...