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
Genetic programming and emergent intelligence
Advances in genetic programming
Genetic programming using a minimum description length principle
Advances in genetic programming
An introduction to the analysis of algorithms
An introduction to the analysis of algorithms
Explicitly defined introns and destructive crossover in genetic programming
Advances in genetic programming
The evolution of size and shape
Advances in genetic programming
Advances in genetic programming
Sub-machine-code genetic programming
Advances in genetic programming
Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming!
Random Generation of Trees: Random Generators in Computer Science
Random Generation of Trees: Random Generators in Computer Science
Accurate Replication in Genetic Programming
Proceedings of the 6th International Conference on Genetic Algorithms
Complexity Compression and Evolution
Proceedings of the 6th International Conference on Genetic Algorithms
Random Tree Generation for Genetic Programming
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
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
Introns in Nature and in Simulated Structure Evolution
Biocomputing and emergent computation: Proceedings of BCEC97
Fitness Causes Bloat: Mutation
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Code growth in genetic programming
Code growth in genetic programming
Balancing accuracy and parsimony in genetic programming
Evolutionary Computation
Schema theory for genetic programming with one-point crossover and point mutation
Evolutionary Computation
Scaling of program fitness spaces
Evolutionary Computation
Code growth in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
An adverse interaction between crossover and restricted tree depth in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Evolving computer programs without subtree crossover
IEEE Transactions on Evolutionary Computation
Bayesian Methods for Efficient Genetic Programming
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
Some Considerations on the Reason for Bloat
Genetic Programming and Evolvable Machines
Biomimetic Representation with Genetic Programming Enzyme
Genetic Programming and Evolvable Machines
Crossover in Grammatical Evolution
Genetic Programming and Evolvable Machines
Genetic Programming Bloat without Semantics
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Evolving Receiver Operating Characteristics for Data Fusion
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Combining Decision Trees and Neural Networks for Drug Discovery
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Genetic Programming for Improved Receiver Operating Characteristics
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
General schema theory for genetic programming with subtree-swapping crossover: part I
Evolutionary Computation
General schema theory for genetic programming with subtree-swapping crossover: Part II
Evolutionary Computation
Genetic Programming and Evolvable Machines
Problem Difficulty and Code Growth in Genetic Programming
Genetic Programming and Evolvable Machines
Genetic Programming for Mining DNA Chip Data from Cancer Patients
Genetic Programming and Evolvable Machines
Genetic programming in classifying large-scale data: an ensemble method
Information Sciences: an International Journal - Special issue: Soft computing data mining
Visualizing Tree Structures in Genetic Programming
Genetic Programming and Evolvable Machines
Resource-limited genetic programming: the dynamic approach
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A statistical learning theory approach of bloat
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Combination of support vector machines using genetic programming
International Journal of Hybrid Intelligent Systems
On the behavioral diversity of random programs
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
GP age-layer and crossover effects in bid-offer spread prediction
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Repeated patterns in genetic programming
Natural Computing: an international journal
Genetic Programming and Evolvable Machines
On Crossover Success Rate in Genetic Programming with Offspring Selection
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
A Statistical Learning Perspective of Genetic Programming
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Semantic analysis of program initialisation in genetic programming
Genetic Programming and Evolvable Machines
A survey and taxonomy of performance improvement of canonical genetic programming
Knowledge and Information Systems
Identifying structural mechanisms in standard genetic programming
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Visualizing tree structures in genetic programming
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
What makes a problem GP-hard? validating a hypothesis of structural causes
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Dynamic maximum tree depth: a simple technique for avoiding bloat in tree-based GP
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
A simple but theoretically-motivated method to control bloat in genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
The root causes of code growth in genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Comparison of adaboost and genetic programming for combining neural networks for drug discovery
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Bloat control operators and diversity in genetic programming: A comparative study
Evolutionary Computation
Operator equalisation and bloat free GP
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
New crossover operators in linear genetic programming for multiclass object classification
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Theoretical results in genetic programming: the next ten years?
Genetic Programming and Evolvable Machines
The role of syntactic and semantic locality of crossover in genetic programming
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Optimal depth estimation by combining focus measures using genetic programming
Information Sciences: an International Journal
Evolvability and speed of evolutionary algorithms in light of recent developments in biology
Journal of Artificial Evolution and Applications
Size-based tournaments for node selection
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
DepthLimited crossover in GP for classifier evolution
Computers in Human Behavior
Genetic programming, validation sets, and parsimony pressure
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Evolving behaviour trees for the commercial game DEFCON
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
GP-Robocode: using genetic programming to evolve robocode players
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Repeated patterns in tree genetic programming
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Grammar based crossover operator in genetic programming
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Operator equalisation for bloat free genetic programming and a survey of bloat control methods
Genetic Programming and Evolvable Machines
Analysing the effects of diverse operators in a genetic programming system
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Genetic programming based blind image deconvolution for surveillancesystems
Engineering Applications of Artificial Intelligence
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Size fair and homologous crossover genetic operators for tree based genetic programming are described and tested. Both produce considerably reduced increases in program size (i.e., less bloat) and no detrimental effect on GP performance.GP search spaces are partitioned by the ridge in the number of program v. their size and depth. While search efficiency is little effected by initial conditions, these do strongly influence which half of the search space is searched. However a ramped uniform random initialization is described which straddles the ridge.With subtree crossover trees increase about one level per generation leading to subquadratic bloat in program length.