IEEE World Congress on Computational Intelligence,Barcelona, Spain, 18-23 July.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 performance on the same problems. This is done by creating four grammars with varying levels of modularity and using them with grammatical evolution to evolve floor plan designs. The results of this experimentation show how increases in modularity, brought about by simple modifications in the grammars, and increases in the quality of solutions go hand in hand. It also demonstrates how more modular grammars explore more individuals even while fitness ...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
We describe the first steps in the adoption of Shape Gram-mars with Grammatical Evolution for applic...
Grammar formalisms are one of the key representation structures in Computer Science. So it is not su...
IEEE World Congress on Computational Intelligence,Barcelona, Spain, 18-23 July.This work furthers th...
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29...
Presented at GECCO '11, the 13th annual conference companion on Genetic and evolutionary computation...
This paper explores an area within Evolutionary Computation called Grammatical Evolution [8]. This a...
Abstract. The ability of Genetic Programming to scale to problems of increasing difficulty operates ...
Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of G...
A frequently overlooked consideration when using Grammatical Evolution (GE) is grammar design. This ...
Grammatical evolution (GE) is a recent grammar-based approach to genetic programming that allows dev...
Presented at GECCO '11, the 13th annual conference companion on Genetic and evolutionary computation...
Evolutionary algorithms are a competent nature-inspired approach for complex computational problem s...
Grammatical Evolution (GE) is a method of utilising a general purpose evolutionary algorithm to evol...
Many deficiencies with grammatical evolution (GE) such as inconvenience in solution derivations, mod...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
We describe the first steps in the adoption of Shape Gram-mars with Grammatical Evolution for applic...
Grammar formalisms are one of the key representation structures in Computer Science. So it is not su...
IEEE World Congress on Computational Intelligence,Barcelona, Spain, 18-23 July.This work furthers th...
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29...
Presented at GECCO '11, the 13th annual conference companion on Genetic and evolutionary computation...
This paper explores an area within Evolutionary Computation called Grammatical Evolution [8]. This a...
Abstract. The ability of Genetic Programming to scale to problems of increasing difficulty operates ...
Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of G...
A frequently overlooked consideration when using Grammatical Evolution (GE) is grammar design. This ...
Grammatical evolution (GE) is a recent grammar-based approach to genetic programming that allows dev...
Presented at GECCO '11, the 13th annual conference companion on Genetic and evolutionary computation...
Evolutionary algorithms are a competent nature-inspired approach for complex computational problem s...
Grammatical Evolution (GE) is a method of utilising a general purpose evolutionary algorithm to evol...
Many deficiencies with grammatical evolution (GE) such as inconvenience in solution derivations, mod...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
We describe the first steps in the adoption of Shape Gram-mars with Grammatical Evolution for applic...
Grammar formalisms are one of the key representation structures in Computer Science. So it is not su...