Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Type inheritance in strongly typed genetic programming
Advances in genetic programming
Data structures and genetic programming
Advances in genetic programming
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Generality and Difficulty in Genetic Programming: Evolving a Sort
Proceedings of the 5th International Conference on Genetic Algorithms
Genetic Programming for Multiple Class Object Detection
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Hyperspectral Image Analysis Using Genetic Programming
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Fitness Causes Bloat: Mutation
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Parameterised Indexed FOR-Loops in Genetic Programming and Regular Binary Pattern Strings
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
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Loops are rarely used in genetic programming (GP), because they lead to massive computation due to the increase in the size of the search space We have investigated the use of loops with restricted semantics for a problem in which there are natural repetitive elements, that of distinguishing two classes of images Using our formulation, programs with loops were successfully evolved and performed much better than programs without loops Our results suggest that loops can successfully used in genetic programming in situations where domain knowledge is available to provide some restrictions on loop semantics.