Search Results - "Genetic Programming"

Cartesian Genetic Programming by Miller, Julian F.

Contents: “…Cartesian Genetic Programming; Preface; Contents; List of Contributors; Acronyms; Chapter 1 Introduction to Evolutionary Computation and Genetic Programming; 1.1 Evolutionary Computation; 1.1.1 Origins; 1.1.2 Illustrating Evolutionary Computation: The Travelling Salesman Problem; 1.2 Genetic Programming; 1.2.1 GP Representation in LISP; 1.2.2 Linear or Machine Code Genetic Programming; 1.2.3 Grammar-Based Approaches; 1.2.4 PushGP; 1.2.5 Cartesian Graph-Based GP; 1.2.6 Bloat; References; Chapter 2 Cartesian Genetic Programming; 2.1 Origins of CGP; 2.2 General Form of CGP.…”
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Genetic programming : 8th European conference, EuroGP 2005 Lausanne, Switzerland, March 30-April 1, 2005 proceedings by EuroGP 2005 Lausanne, Switzerland, SpringerLink (Online service)

Contents: “…Talks -- An Algorithmic Chemistry for Genetic Programming -- Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner -- Automated Re-invention of a Previously Patented Optical Lens System Using Genetic Programming -- Bayesian Automatic Programming -- Dynamic Size Populations in Distributed Genetic Programming -- Evolution of Robot Controller Using Cartesian Genetic Programming -- Evolving L-Systems to Capture Protein Structure Native Conformations -- Evolving Rules for Document Classification -- Genetic Programming in Wireless Sensor Networks -- Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator -- GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players -- GP-Gammon: Using Genetic Programming to Evolve Backgammon Players -- GP-Robocode: Using Genetic Programming to Evolve Robocode Players -- Incorporating Learning Probabilistic Context-Sensitive Grammar in Genetic Programming for Efficient Evolution and Adaptation of Snakebot -- Multi-logic-Unit Processor: A Combinational Logic Circuit Evaluation Engine for Genetic Parallel Programming -- Operator-Based Distance for Genetic Programming: Subtree Crossover Distance -- Repeated Patterns in Tree Genetic Programming -- Tarpeian Bloat Control and Generalization Accuracy -- The Tree-String Problem: An Artificial Domain for Structure and Content Search -- Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems -- Posters -- Context-Based Repeated Sequences in Linear Genetic Programming -- Evolution of a Strategy for Ship Guidance Using Two Implementations of Genetic Programming -- Evolution of Vertex and Pixel Shaders -- Evolve Schema Directly Using Instruction Matrix Based Genetic Programming -- Evolving Defence Strategies by Genetic Programming -- Extending Particle Swarm Optimisation via Genetic Programming -- Inducing Diverse Decision Forests with Genetic Programming -- mGGA: The meta-Grammar Genetic Algorithm -- On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features -- Relative Fitness and Absolute Fitness for Co-evolutionary Systems -- Teams of Genetic Predictors for Inverse Problem Solving -- Understanding Evolved Genetic Programs for a Real World Object Detection Problem -- Undirected Training of Run Transferable Libraries -- Zero Is Not a Four Letter Word: Studies in the Evolution of Language.…”
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Genetic programming : 9th European conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006 : proceedings by EuroGP 2006 Budapest, Hungary, SpringerLink (Online service)

Contents: “…802.11 De-authentication Attack Detection Using Genetic Programming -- 802.11 De-authentication Attack Detection Using Genetic Programming -- A Divide & Conquer Strategy for Improving Efficiency and Probability of Success in Genetic Programming -- A Genetic Programming Approach to Solomonoff's Probabilistic Induction -- A Less Destructive, Context-Aware Crossover Operator for GP -- AQUAGP: Approximate QUery Answers Using Genetic Programming -- Blindbuilder: A New Encoding to Evolve Lego-Like Structures -- Dynamic Scheduling with Genetic Programming -- Emergent Generality of Adapted Locomotion Gaits of Simulated Snake-Like Robot -- Evolving Crossover Operators for Function Optimization -- Genetic Programming, Validation Sets, and Parsimony Pressure -- Geometric Crossover for Biological Sequences -- Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study -- Iterative Filter Generation Using Genetic Programming -- Iterative Prototype Optimisation with Evolved Improvement Steps -- Learning Recursive Functions with Object Oriented Genetic Programming -- Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes -- Population Clustering in Genetic Programming -- Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks -- Solving Sudoku with the GAuGE System -- The Halting Probability in Von Neumann Architectures -- Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics -- Posters -- Characterizing Diversity in Genetic Programming -- Complexity and Cartesian Genetic Programming -- Design of Robust Communication Systems Using Genetic Algorithms -- Developmental Evaluation in Genetic Programming: The Preliminary Results -- Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks -- Information-Dependent Switching of Identification Criteria in a Genetic Programming System for System Identification -- Invariance of Function Complexity Under Primitive Recursive Functions -- On the Locality of Grammatical Evolution -- Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming -- P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems -- Positional Independence and Recombination in Cartesian Genetic Programming.…”
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Genetic programming : 10th European conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007 : proceedings by EuroGP 2007 Valencia, Spain, SpringerLink (Online service)

Contents: “…Plenary 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.…”
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Genetic programming : 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008 : proceedings by EuroGP 2008 Naples, Italy, SpringerLink (Online service)

Contents: “…Oral Presentations -- Training Time and Team Composition Robustness in Evolved Multi-agent Systems -- Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection -- In Silicon No One Can Hear You Scream: Evolving Fighting Creatures -- Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Model -- Good News: Using News Feeds with Genetic Programming to Predict Stock Prices -- A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System -- A SIMD Interpreter for Genetic Programming on GPU Graphics Cards -- Partitioned Incremental Evolution of Hardware Using Genetic Programming -- Population Parallel GP on the G80 GPU -- Operator Equalisation and Bloat Free GP -- Practical Model of Genetic Programming's Performance on Rational Symbolic Regression Problems -- Semantic Building Blocks in Genetic Programming -- A Simple Powerful Constraint for Genetic Programming -- Crossover, Sampling, Bloat and the Harmful Effects of Size Limits -- The Performance of a Selection Architecture for Genetic Programming -- A Comparison of Cartesian Genetic Programming and Linear Genetic Programming -- Evolvability Via Modularity-Induced Mutational Focussing -- A Linear Estimation-of-Distribution GP System -- Feature Discovery in Reinforcement Learning Using Genetic Programming -- Hardware Accelerators for Cartesian Genetic Programming -- Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems -- Posters -- Evolving Proactive Aggregation Protocols -- GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation -- Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution -- Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution -- Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction -- The Effects of Constant Neutrality on Performance and Problem Hardness in GP -- Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering -- PlasmidPL: A Plasmid-Inspired Language for Genetic Programming -- Using Genetic Programming for Turing Machine Induction -- Altering Search Rates of the Meta and Solution Grammars in the mGGA.…”
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Genetic programming : 12th European conference, EuroGP 2009, Tübingen, Germany, April 15-17, 2009 ; proceedings by EuroGP 2009 Tübingen, Germany, SpringerLink (Online service)

Contents: “…Oral Presentations -- One-Class Genetic Programming -- Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG -- Memory with Memory in Tree-Based Genetic Programming -- On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems -- Why Coevolution Doesn't "Work": Superiority and Progress in Coevolution -- On Improving Generalisation in Genetic Programming -- Mining Evolving Learning Algorithms -- The Role of Population Size in Rate of Evolution in Genetic Programming -- Genetic Programming Crossover: Does It Cross over? …”
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Genetic programming : 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010 : proceedings by EuroGP 2010 Istanbul, Turkey, SpringerLink (Online service)

Contents: “…Caves -- Geometric differential evolution on the space of genetic programs / Alberto Moraglio and Sara Silva -- Improving the generalisation ability of genetic programming with semantic similarity based crossover / Nguyen Quang Uy, Nguyen Thi Hien, Nguyen Xuan Hoai, and Michael O'Neill -- Evolving genes to balance a pole / Miguel Nicolau, Marc Schoenauer, and Wolfgang Banzhaf -- Solution-locked averages and solution-time binning in genetic programming / Riccardo Poli -- Enabling object reuse on genetic programming-based approaches to object-oriented evolutionary testing / José Carlos Bregieiro Ribeiro, Mário Alberto Zenha-Rela, and Francisco Fernández de Vega -- Analytic solutions to differential equations under graph-based genetic programming / Tom Seaton, Gavin Brown, and Julian F. …”
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Genetic programming : 14th European conference, EuroGP 2011, Torino, Italy, April 27-29, 2011 : proceedings by EuroGP 2011 Turin, Italy, SpringerLink (Online service)

Subjects: “…Genetic programming (Computer science) Congresses.…”
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Genetic programming : 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings by EuroGP 2012 Málaga, Spain, SpringerLink (Online service)

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Genetic programming : on the programming of computers by means of natural selection by Koza, John R.

Contents: “…The Representation Problem for Genetic Algorithms -- 5. Overview of Genetic Programming -- 6. Detailed Description of Genetic Programming -- 7. …”
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Genetic programming : 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings by EuroGP (Conference) Vienna, Austria), SpringerLink (Online service)

Contents: “…-Reducing Wasted Evaluations in Cartesian Genetic Programming.-Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data.…”
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Genetic programming : 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised selected papers by EuroGP (Conference) Granada, Spain), SpringerLink (Online service)

Subjects: “…Genetic programming (Computer science) Congresses.…”
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Genetic programming : 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings by EuroGP (Conference) Copenhagen, Denmark), SpringerLink (Online service)

Contents: “…The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems -- Learning Text Patterns Using Separate-and-Conquer Genetic Programming -- Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation -- Grant Dick On the Generalization Ability of Geometric Semantic Genetic Programming -- Automatic Derivation of Search Objectives for Test-Based Genetic Programming -- Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation -- M3GP? …”
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Genetic programming : 19th European Conference, EuroGP 2016, Porto, Portugal, March 30-April 1, 2016, Proceedings by EuroGP (Conference) Porto, Portugal), SpringerLink (Online service)

Contents: “…Intro; Preface; Organization; Contents; Full Presentations; One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming; 1 Introduction; 2 Related Work; 3 Preliminaries; 3.1 Genetic Programming; 3.2 Kernel Density Estimation; 4 Proposed Approach; 4.1 Description of Method; 4.2 Generating Artificial Data; 5 Experiments; 5.1 Datasets; 5.2 Experimental Settings; 6 Results and Discussion; 7 Conclusion and Further Work; References; Evolutionary Approximation of Edge Detection Circuits; 1 Introduction; 2 Relevant Work; 2.1 Edge Detectors.…”
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Genetic programming : 20th European Conference, EuroGP 2017, Amsterdam, the Netherlands, April 19-21, 2017, Proceedings by EuroGP (Conference) Amsterdam, Netherlands), SpringerLink (Online service)

Contents: “…4.1 Description of the Programs Targeted by GI5 Results; 5.1 Change in Fitness; 5.2 Average Fitness with Respect to Edit List Size; 5.3 Discrete Steps in Fitness; 6 Conclusions; References; Differentiable Genetic Programming; 1 Introduction; 2 Program Encoding; 3 The Algebra of Truncated Polynomials; 3.1 The Link to Taylor Polynomials; 3.2 Non Rational Functions; 4 Example of a dCGP; 5 Learning Constants in Symbolic Regression; 5.1 Ephemeral Constants Approach; 5.2 Weighted dCGP Approach; 6 Solution to Differential Equations; 7 Discovery of Prime Integrals; 8 Conclusions; References.…”
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Genetic programming : 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings by EuroGP (Conference) Parma, Italy), SpringerLink (Online service)

Contents: “…Using GP Is NEAT: Evolving Compositional Pattern Production Functions -- Evolving the Topology of Large Scale Deep Neural Networks -- Evolving Graphs by Graph Programming -- Pruning Techniques for Mixed Ensembles of Genetic Programming Models -- Analyzing Feature Importance for Metabolomics Using Genetic Programming -- Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming -- On the Automatic Design of a Representation for Grammar-Based Genetic Programming -- Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks -- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom -- Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States -- A Multiple Expression Alignment Framework for Genetic Programming -- Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions -- A Comparative Study on Crossover in Cartesian Genetic Programming -- Evolving Better RNAfold Structure Prediction -- Geometric Crossover in Syntactic Space -- Investigating A Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling -- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming -- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web -- Genetic Programming Hyperheuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.…”
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Genetic programming : 22nd European Conference, EuroGP 2019, held as part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings by EuroGP (Conference) Leipzig, Germany), SpringerLink (Online service), EVOSTAR (Conference)

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Genetic programming : 23rd European Conference, EuroGP 2020, held as part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings by EuroGP (Conference) Seville, Spain), SpringerLink (Online service), EVOSTAR (Conference)

Contents: “…Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data -- Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing -- Incremental Evolution and Development of Deep Artificial Neural Networks -- Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming -- Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement -- Automatically Evolving Lookup Tables for Function Approximation -- Optimising Optimisers with Push GP -- An Evolutionary View on Reversible Shift-invariant Transformations -- Benchmarking Manifold Learning Methods on a Large Collection of Datasets -- Ensemble Genetic Programming -- SGP-DT: Semantic Genetic Programming Based on Dynamic Targets -- Effect of Parent Selection Methods on Modularity -- Time Control or Size Control? …”
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Genetic programming : 24th European Conference, EuroGP 2021, held as part of EvoStar 2021, virtual event, April 7-9, 2021, proceedings by EuroGP (Conference) Online), SpringerLink (Online service), EVOSTAR (Conference)

Contents: “…Quality Diversity Genetic Programming for Learning Decision Tree Ensembles -- Progressive Insular Cooperative GP -- Regenerating Soft Robots through Neural Cellular Automata -- Inclusive Genetic Programming -- Towards incorporating Human Knowledge in Fuzzy Pattern Tree Evolution -- Evolutionary Neural Architecture Search Supporting Approximate Multipliers -- Automatic design of deep neural networks applied to image segmentation problems -- On the Influence of Grammars on Crossover in Grammatical Evolution -- On the Generalizability of Programs Synthesized by Grammar-Guided Genetic Programming -- Evolution of Complex Combinational Logic Circuits Using Grammatical Evolution with SystemVerilog -- Evofficient: Reproducing a Cartesian Genetic Programming Method -- Software Anti-patterns Detection Under Uncertainty Using A Possibilistic Evolutionary Approach -- Probabilistic Grammatical Evolution -- Evolving allocation rules for beam search heuristics in assembly line balancing -- Incremental Evaluation of Genetic Programming -- Mining Feature Relationships in Data -- Getting a Head Start on Program Synthesis with Genetic Programming.…”
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Genetic programming : 25th European Conference, EuroGP 2022, held as part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings by EuroGP (Conference) Online), SpringerLink (Online service), EVOSTAR (Conference)

Contents: “…Long Presentations -- Evolving Adaptive Neural Network Optimizers for Image Classification -- Combining Geometric Semantic GP with Gradient-descent Optimization -- One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems -- Multi-objective GP with AWS for Symbolic Regression -- SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming -- Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers -- Using Denoising Autoencoder Genetic Programming to Control Exploration and Exploitation in Search -- Program Synthesis with Genetic Programming: The Influence of Batch Sizes -- Genetic Programming-Based Inverse Kinematics for Robotic Manipulators -- On the Schedule for Morphological Development of Evolved Modular Soft Robots -- An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling -- Cooperative Co-Evolution and Adaptive Team Composition for a Multi-Rover Resources Allocation Problem -- Short Presentations -- Synthesizing Programs from Program Pieces using Genetic Programming and Refinement Type Checking -- Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites -- Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence -- Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems -- Exploiting Knowledge from Code to Guide Program Search -- Multi-Objective Genetic Programming for Explainable Reinforcement Learning -- Permutation-Invariant Representation of Neural Networks with Neuron Embeddings.…”
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