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 in C++: implementation issues
Advances in genetic programming
Efficiently representing populations in genetic programming
Advances in genetic programming
A parallel implementation of genetic programming that achieves super-linear performance
Information Sciences: an International Journal - special issue on parallel and distributed processing
Evolutionary learning of communicating agents
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences: an International Journal - Special issue on frontiers in evolutionary algorithms
Evolving complex robot behaviors
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on evolutionary algorithms
Genetic programming based pattern classification with feature space partitioning
Information Sciences: an International Journal
Genetic programming for model selection of TSK-fuzzy systems
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Advanced Population Diversity Measures in Genetic Programming
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
A Survey And Analysis Of Diversity Measures In Genetic Programming
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
A Metric for Genetic Programs and Fitness Sharing
Proceedings of the European Conference on Genetic Programming
Evolving Hand-Eye Coordination for a Humanoid Robot with Machine Code Genetic Programming
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Multi-Objective Methods for Tree Size Control
Genetic Programming and Evolvable Machines
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: FEA 2002
Genetic programming in classifying large-scale data: an ensemble method
Information Sciences: an International Journal - Special issue: Soft computing data mining
Agent-based computational modeling of the stock price-volume relation
Information Sciences: an International Journal - Special issue: Computational intelligence in economics and finance
Evolving visual sonar: Depth from monocular images
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Strategy creation, decomposition and distribution in particle navigation
Information Sciences: an International Journal
Thalassaemia classification by neural networks and genetic programming
Information Sciences: an International Journal
Breast cancer diagnosis using genetic programming generated feature
Pattern Recognition
Genetic programming for epileptic pattern recognition in electroencephalographic signals
Applied Soft Computing
FuzzyTree crossover for multi-valued stock valuation
Information Sciences: an International Journal
Population variation in genetic programming
Information Sciences: an International Journal
Applying genetic programming technique in classification trees
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on intelligent systems for financial engineering and computational finance
Phase compensating dielectric lens design with genetic programming: Research Articles
International Journal of RF and Microwave Computer-Aided Engineering
Genetic programming for computational pharmacokinetics in drug discovery and development
Genetic Programming and Evolvable Machines
Artificial Intelligence in Medicine
Some studies in machine learning using the game of checkers
IBM Journal of Research and Development
Information Sciences: an International Journal
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
Information Sciences: an International Journal
Evolution of the CPG with sensory feedback for bipedal locomotion
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Projecting financial data using genetic programming in classification and regression tasks
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Evolution of a strategy for ship guidance using two implementations of genetic programming
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Protein motif discovery with linear genetic programming
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Simbad: an autonomous robot simulation package for education and research
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Attaining human–competitive game playing with genetic programming
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
Looking for prototypes by genetic programming
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Genetic programming of a microcontrolled water bath plant
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Stock index modeling using hierarchical radial basis function networks
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
A survey and taxonomy of performance improvement of canonical genetic programming
Knowledge and Information Systems
Multi-criteria genetic optimisation of the manoeuvres of a two-stage launcher
Information Sciences: an International Journal
Information Sciences: an International Journal
Characterizing fault tolerance in genetic programming
Future Generation Computer Systems
Grammar guided genetic programming for multiple instance learning: an experimental study
Proceedings of the 12th annual conference on Genetic and evolutionary computation
G3P-MI: A genetic programming algorithm for multiple instance learning
Information Sciences: an International Journal
Optimal depth estimation by combining focus measures using genetic programming
Information Sciences: an International Journal
Dynamic population variation genetic programming with Kalman operator for power system load modeling
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Ectropy of diversity measures for populations in Euclidean space
Information Sciences: an International Journal
Information Sciences: an International Journal
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Three innovations are proposed for dynamically varying the population size during the run of the genetic programming (GP) system. These are related to what is called Dynamic Population Variation (DPV), where the size of the population is dynamically varied using a heuristic feedback mechanism during the execution of the GP with the aim of reducing the computational effort compared with Standard Genetic Programming (SGP). Firstly, previously developed population variation pivot functions are controlled by four newly proposed characteristic measures. Secondly, a new gradient based pivot function is added to this dynamic population variation method in conjunction with the four proposed measures. Thirdly, a formula for population variations that is independent of special constants is introduced and evaluated. The efficacy of these innovations is examined using a comprehensive range of standard representative problems. It is shown that the new ideas do have the capacity to provide solutions at a lower computational cost compared with standard genetic programming and previously reported algorithms such as the plague operator and the static population variation schemes previously introduced by the authors.