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
Explicitly defined introns and destructive crossover in genetic programming
Advances in genetic programming
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
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
Evolving Compact Solutions in Genetic Programming: A Case Study
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Introns in Nature and in Simulated Structure Evolution
Biocomputing and emergent computation: Proceedings of BCEC97
Code growth in genetic programming
Code growth in genetic programming
Balancing accuracy and parsimony in genetic programming
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
Generality versus size in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Bayesian Methods for Efficient Genetic Programming
Genetic Programming and Evolvable Machines
Evolution of Multi-adaptive Discretization Intervals for a Rule-Based Genetic Learning System
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Reducing Bloat in Genetic Programming
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Evolving Behaviors for Cooperating Agents
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Multi-Objective Methods for Tree Size Control
Genetic Programming and Evolvable Machines
Problem Difficulty and Code Growth 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
Molecular programming: evolving genetic programs in a test tube
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
Analysis of the initialization stage of a Pittsburgh approach learning classifier system
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A comparison of bloat control methods for genetic programming
Evolutionary Computation
Genetic programming for medical classification: a program simplification approach
Genetic Programming and Evolvable Machines
Evolutionary algorithm considering program size: efficient program evolution using grape
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
The impact of population size on code growth in GP: analysis and empirical validation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Efficient tree traversal to reduce code growth in tree-based genetic programming
Journal of Heuristics
A Statistical Learning Perspective of Genetic Programming
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
How online simplification affects building blocks in genetic programming
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
The identification and exploitation of dormancy in genetic programming
Genetic Programming and Evolvable Machines
Adaptation of length in a nonstationary environment
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
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Improving the performance of a pittsburgh learning classifier system using a default rule
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
A simple but theoretically-motivated method to control bloat in genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Slightly beyond Turing's computability for studying genetic programming
MCU'07 Proceedings of the 5th international conference on Machines, computations, and universality
Operator equalisation and bloat free GP
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Abstract functions and lifetime learning in genetic programming for symbolic regression
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
Reducing overfitting in genetic programming models for software quality classification
HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
Have your spaghetti and eat it too: evolutionary algorithmics and post-evolutionary analysis
Genetic Programming and Evolvable Machines
Variance based selection to improve test set performance in genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Digital Ecosystems: Ecosystem-Oriented Architectures
Natural Computing: an international journal
Long memory time series forecasting by using genetic programming
Genetic Programming and Evolvable Machines
Genetic programming, validation sets, and parsimony pressure
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Characterizing diversity in genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Bioprocess modeling using genetic programming based on a double penalty strategy
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Predicting torsional strength of RC beams by using Evolutionary Polynomial Regression
Advances in Engineering Software
Operator equalisation for bloat free genetic programming and a survey of bloat control methods
Genetic Programming and Evolvable Machines
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Parsimony pressure, the explicit penalization of larger programs, has been increasingly used as a means of controlling code growth in genetic programming. However, in many cases parsimony pressure degrades the performance of the genetic program. In this paper we show that poor average results with parsimony pressure are a result of “failed” populations that overshadow the results of populations that incorporate parsimony pressure successfully. Additionally, we show that the effect of parsimony pressure can be measured by calculating the relationship between program size and performance within the population. This measure can be used as a partial indicator of success or failure for individual populations.