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 (videotape): the next generation
Genetic programming II (videotape): the next generation
A simulation of adaptive agents in a hostile environment
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Promoting Generalisation of Learned Behaviours in Genetic Programming
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Dynamic Training Subset Selection for Supervised Learning in Genetic Programming
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Evolving a Generalized Behaviour: Artificial Ant Problem Revisited
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Robustness of robot programs generated by genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Generality versus size in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Improving the accuracy and robustness of genetic programming through expression simplification
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
COAST: an approach to robustness and reusability in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
Multi-optimization improves genetic programming generalization ability
Proceedings of the 9th annual conference on Genetic and evolutionary computation
The Generalisation Ability of a Selection Architecture for Genetic Programming
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Using crossover based similarity measure to improve genetic programming generalization ability
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Theoretical results in genetic programming: the next ten years?
Genetic Programming and Evolvable Machines
Open issues in genetic programming
Genetic Programming and Evolvable Machines
A quantitative study of learning and generalization in genetic programming
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
The tree-string problem: an artificial domain for structure and content search
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Excluding fitness helps improve robustness of evolutionary algorithms
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Improving the generalisation ability of genetic programming with semantic similarity based crossover
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Random sampling technique for overfitting control in genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Balancing learning and overfitting in genetic programming with interleaved sampling of training data
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
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Generalisation is one of the most important performance evaluationcriteria for artificial learning systems. An increasing amount ofresearch has recently concentrated on the robustness or generalisationability of the programs evolved using Genetic Programming (GP). Whilesome of these researchers report on the brittleness of the solutionsevolved, some others propose methods of promotingrobustness/generalisation. In this paper, a review of research ongeneralisation in GP and problems with brittleness of solutions producedby GP is presented. Also, a brief overview of several new methodspromoting robustness/generalisation of the solutions produced by GP arepresented.