Random number generators: good ones are hard to find
Communications of the ACM
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 and emergent intelligence
Advances in genetic programming
Advances in genetic programming
Genetic programming using a minimum description length principle
Advances in genetic programming
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
The evolution of size and shape
Advances in genetic programming
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming
Genetic Programming and Evolvable Machines
Accurate Replication in Genetic Programming
Proceedings of the 6th International Conference on Genetic Algorithms
Evolving Compact Solutions in Genetic Programming: A Case Study
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Genetic Programming Bloat with Dynamic Fitness
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Fitness Causes Bloat: Mutation
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
An analysis of genetic programming
An analysis of genetic programming
Code growth in genetic programming
Code growth in genetic programming
Balancing accuracy and parsimony in genetic programming
Evolutionary Computation
Collective adaptation: The exchange of coding segments
Evolutionary Computation
Code growth, explicitly defined introns, and alternative selection schemes
Evolutionary Computation
Scaling of program fitness spaces
Evolutionary Computation
Evolving computer programs without subtree crossover
IEEE Transactions on Evolutionary Computation
A Schema Theory Analysis of the Evolution of Size in Genetic Programming with Linear Representations
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Operator equalisation for bloat free genetic programming and a survey of bloat control methods
Genetic Programming and Evolvable Machines
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To investigate the fundamental causes of bloat, six artificial random binary tree search spaces are presented. Fitness is given by program syntax (the genetic programming genotype). GP populations are evolved on both random problems and problems with "building blocks". These are compared to problems with explicit ineffective code (introns, junk code, inviable code). Our results suggest the entropy random walk explanation of bloat remains viable. The hard building block problem might be used in further studies, e.g. of standard subtree crossover.