Genetic programming

InhaltsverzeichnisPlenary Talks.A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms.An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers.Confidence Intervals for Computational Effort Comparisons.Crossover Bias in Genetic Programming.Density Estimation with Genetic Programming for Inverse Problem Solving.Empirical Analysis of GP Tree-Fragments.Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems.Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess.Fast Genetic Programming on GPUs.FIFTHTM: A Stack Based GP Language for Vector Processing.Genetic Programming with Fitness Based on Model Checking.Geometric Particle Swarm Optimisation.GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions.Layered Learning in Boolean GP Problems.Mining Distributed Evolving Data Streams Using Fractal GP Ensembles.Multi-objective Genetic Programming for Improving the Performance of TCP.On Population Size and Neutrality: Facilitating the Evolution of Evolvability.On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming.Predicting Prime Numbers Using Cartesian Genetic Programming.Real-Time, Non-intrusive Evaluation of VoIP.Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach.Posters.A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds.Analysing the Regularity of Genomes Using Compression and Expression Simplification.Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming.Code Regulation in Open Ended Evolution.Data Mining of Genetic Programming Run Logs.Evolving a Statistics Class Using Object Oriented Evolutionary Programming.Evolving Modular Recursive Sorting Algorithms.Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP.Genetic Programming Heuristics for Multiple Machine Scheduling.Group-Foraging with Particle Swarms and Genetic Programming.Multiple Interactive Outputs in a Single Tree: An Empirical Investigation.Parsimony Doesn’t Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data.The Holland Broadcast Language and the Modeling of Biochemical Networks.The Induction of Finite Transducers Using Genetic Programming.