We describe an R package which implements grammatical evolution (GE) for automatic program generation. By performing an unconstrained optimization over a population of R expressions generated via a user-defined grammar, programs which achieve a desired goal can be discovered. The package facilitates the coding and execution of GE programs, and supports parallel execution. In addition, three applications of GE in statistics and machine learning, including hyper-parameter optimization, classification and feature generation are studied
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29...
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
Grammatical evolution (GE) is a recent grammar-based approach to genetic programming that allows dev...
This paper explores an area within Evolutionary Computation called Grammatical Evolution [8]. This a...
Grammatical Evolution (GE) is a method of utilising a general purpose evolutionary algorithm to evol...
The aim of this work is to develop an Automatic Programming system draw-ing inspiration from biologi...
Evolutionary algorithms are a competent nature-inspired approach for complex computational problem s...
IEEE Congress on Evolutionary Computation (CEC 2006), Vancouver, British Columbia, Canada, 16-21 Jul...
Abstract—We present grammatical evolution, an evolutionary algorithm that can evolve complete progra...
Grammatical evolution (GE) is one of the most widespread techniques in evolutionary computation. Gen...
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map...
Grammatical Evolution is a multidisciplinary tool for evolvoing grammar sentences. A Grammar formali...
Grammatical Evolution is a multidisciplinary tool for evolvoing grammar sentences. A Grammar formali...
Grammatical Evolution is a multidisciplinary tool for evolvoing grammar sentences. A Grammar formali...
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29...
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
Grammatical evolution (GE) is a recent grammar-based approach to genetic programming that allows dev...
This paper explores an area within Evolutionary Computation called Grammatical Evolution [8]. This a...
Grammatical Evolution (GE) is a method of utilising a general purpose evolutionary algorithm to evol...
The aim of this work is to develop an Automatic Programming system draw-ing inspiration from biologi...
Evolutionary algorithms are a competent nature-inspired approach for complex computational problem s...
IEEE Congress on Evolutionary Computation (CEC 2006), Vancouver, British Columbia, Canada, 16-21 Jul...
Abstract—We present grammatical evolution, an evolutionary algorithm that can evolve complete progra...
Grammatical evolution (GE) is one of the most widespread techniques in evolutionary computation. Gen...
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map...
Grammatical Evolution is a multidisciplinary tool for evolvoing grammar sentences. A Grammar formali...
Grammatical Evolution is a multidisciplinary tool for evolvoing grammar sentences. A Grammar formali...
Grammatical Evolution is a multidisciplinary tool for evolvoing grammar sentences. A Grammar formali...
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29...
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...