Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Evolving Multi-line Compilable C Programs
Proceedings of the Second European Workshop on Genetic Programming
Grammatical Evolution: Evolving Programs for an Arbitrary Language
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Applied Evolutionary Algorithms in Java
Applied Evolutionary Algorithms in Java
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
IEEE Transactions on Evolutionary Computation
Text categorization for streams
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Constituent grammatical evolution
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
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Grammatical Evolution (GE) is a novel evolutionary algorithm which uses an arbitrary variable-length binary string to govern which production rule of a Backus Naur Form grammar will be used in a genotype-to-phenotype mapping process. This paper introduces the Java GE project (jGE), which is an implementation of GE in the Java language. The main difference between jGE and libGE, a public domain implementation of GE in C++, is that jGE incorporates the functionality of libGE as a component and provides implementation of the Search Engine as well as the Evaluator. The main idea behind the jGE Library (it can be downloaded at [16]) is to create a framework for evolutionary algorithms which can be extended to any specific implementation such as Genetic Algorithms, Genetic Programming and Grammatical Evolution.