Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
A Knowledge-Intensive Genetic Algorithm for Supervised Learning
Machine Learning - Special issue on genetic algorithms
On using syntactic constraints with genetic programming
Advances in genetic programming
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Evolving Structured Programs with Hierarchical Instructions and Skip Nodes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Extending Population-Based Incremental Learning to Continuous Search Spaces
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Genetic Programming and Domain Knowledge: Beyond the Limitations of Grammar-Guided Machine Discovery
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Grammatical Evolution: Evolving Programs for an Arbitrary Language
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Introns in Nature and in Simulated Structure Evolution
Biocomputing and emergent computation: Proceedings of BCEC97
Balancing accuracy and parsimony in genetic programming
Evolutionary Computation
Strongly typed genetic programming
Evolutionary Computation
Extending Selection Learning toward Fixed-Length d-Ary Strings
Selected Papers from the 5th European Conference on Artificial Evolution
A statistical learning theory approach of bloat
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Combining cartesian genetic programming with an estimation of distribution algorithm
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Binary encoding for prototype tree of probabilistic model building GP
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
IEEE Transactions on Evolutionary Computation
A survey and taxonomy of performance improvement of canonical genetic programming
Knowledge and Information Systems
Slightly beyond Turing's computability for studying genetic programming
MCU'07 Proceedings of the 5th international conference on Machines, computations, and universality
A linear estimation-of-distribution GP system
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Grammar-based Genetic Programming: a survey
Genetic Programming and Evolvable Machines
Structural difficulty in estimation of distribution genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Digital Ecosystems: Ecosystem-Oriented Architectures
Natural Computing: an international journal
Bayesian automatic programming
EuroGP'05 Proceedings of the 8th 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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The application of Genetic Programming to the discovery of empirical laws is often impaired by the huge size of the search space, and consequently by the computer resources needed. In many cases, the extreme demand for memory and CPU is due to the massive growth of non-coding segments, the introns. The paper presents a new program evolution framework which combines distribution-based evolution in the PBIL spirit, with grammar-based genetic programming; the information is stored as a probability distribution on the grammar rules, rather than in a population. Experiments on a real-world like problem show that this approach gives a practical solution to the problem of introns growth.