nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Accelerated Genetic Programming of Polynomials
|
Nikolay I. Nikolaev |
|
2001 |
|
3 |
p. 231-257 27 p. |
artikel |
2 |
Accelerated Genetic Programming of Polynomials
|
Nikolaev, Nikolay I. |
|
2001 |
|
3 |
p. 231-257 |
artikel |
3 |
A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networks
|
Saghiri, Ali Mohammad |
|
2017 |
|
3 |
p. 313-349 |
artikel |
4 |
Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation
|
Milone, Diego H. |
|
2007 |
|
3 |
p. 289-291 |
artikel |
5 |
Aesthetic 3D model evolution
|
Bergen, Steve |
|
2013 |
|
3 |
p. 339-367 |
artikel |
6 |
A genetic programming approach to the evolution of brain–computer interfaces for 2-D mouse–pointer control
|
Poli, Riccardo |
|
2012 |
|
3 |
p. 377-405 |
artikel |
7 |
A genetic programming framework in the automatic design of combination models for salient object detection
|
Contreras-Cruz, Marco A. |
|
2019 |
|
3 |
p. 285-325 |
artikel |
8 |
A grammar-based GP approach applied to the design of deep neural networks
|
Lima, Ricardo H. R. |
|
|
|
3 |
p. 427-452 |
artikel |
9 |
A methodology for user directed search in evolutionary design
|
Byrne, Jonathan |
|
2013 |
|
3 |
p. 287-314 |
artikel |
10 |
Analysis of mass spectrometry data of cerebral stroke samples: an evolutionary computation approach to resolve and quantify peptide peaks
|
Valdés, Julio J. |
|
2008 |
|
3 |
p. 257-274 |
artikel |
11 |
An Analysis of the Causes of Code Growth in Genetic Programming
|
Terence Soule |
|
2002 |
|
3 |
p. 283-309 27 p. |
artikel |
12 |
An Analysis of the Causes of Code Growth in Genetic Programming
|
Soule, Terence |
|
2002 |
|
3 |
p. 283-309 |
artikel |
13 |
An automatic solver for very large jigsaw puzzles using genetic algorithms
|
Sholomon, Dror |
|
2016 |
|
3 |
p. 291-313 |
artikel |
14 |
An eigen analysis of the GP community
|
Langdon, W. B. |
|
2008 |
|
3 |
p. 171-182 |
artikel |
15 |
A network perspective on genotype–phenotype mapping in genetic programming
|
Hu, Ting |
|
|
|
3 |
p. 375-397 |
artikel |
16 |
An evolved anti-jamming adaptive beamforming network
|
Lohn, Jason D. |
|
2011 |
|
3 |
p. 217-234 |
artikel |
17 |
Angelo Cangelosi and Matthew Schlesinger: Developmental robotics
|
Meeden, Lisa A. |
|
2015 |
|
3 |
p. 397-398 |
artikel |
18 |
A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming
|
Sokolov, Artem |
|
2007 |
|
3 |
p. 221-237 |
artikel |
19 |
Applying genetic programming to PSB2: the next generation program synthesis benchmark suite
|
Helmuth, Thomas |
|
|
|
3 |
p. 375-404 |
artikel |
20 |
A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical Evolution: Commentary on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
|
Ryan, Conor |
|
2017 |
|
3 |
p. 385-389 |
artikel |
21 |
A Review of the Advances in Genetic Programming Series (Volumes 1, 2 and 3)
|
Bruce Edmonds |
|
2000 |
|
3 |
p. 289-296 8 p. |
artikel |
22 |
A Review of the “Advances in Genetic Programming” Series (Volumes 1, 2 and 3)
|
Edmonds, Bruce |
|
2000 |
|
3 |
p. 289-296 |
artikel |
23 |
Arthur I. Miller: The artist in the machine: the world of AI-powered creativity
|
Olszewska, Anna |
|
|
|
3 |
p. 525-527 |
artikel |
24 |
Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm
|
Watkins, Andrew |
|
2004 |
|
3 |
p. 291-317 |
artikel |
25 |
Artificial Immune Recognition System (AIRS) An Immune-Inspired Supervised Learning Algorithm
|
Andrew Watkins |
|
2004 |
|
3 |
p. 291-317 27 p. |
artikel |
26 |
A Scalable Approach to Evolvable Hardware
|
Jim Torresen |
|
2002 |
|
3 |
p. 259-282 24 p. |
artikel |
27 |
A Scalable Approach to Evolvable Hardware
|
Torresen, Jim |
|
2002 |
|
3 |
p. 259-282 |
artikel |
28 |
A self-organizing random immigrants genetic algorithm for dynamic optimization problems
|
Tinós, Renato |
|
2007 |
|
3 |
p. 255-286 |
artikel |
29 |
A study on Koza’s performance measures
|
Barrero, David F. |
|
2014 |
|
3 |
p. 327-349 |
artikel |
30 |
A three-step decomposition method for the evolutionary design of sequential logic circuits
|
Liang, Houjun |
|
2009 |
|
3 |
p. 231-262 |
artikel |
31 |
A univariate marginal distribution algorithm based on extreme elitism and its application to the robotic inverse displacement problem
|
Gao, Shujun |
|
2017 |
|
3 |
p. 283-312 |
artikel |
32 |
Automated Discovery of Numerical Approximation Formulae via Genetic Programming
|
Matthew Streeter |
|
2003 |
|
3 |
p. 255-286 32 p. |
artikel |
33 |
Automated Discovery of Numerical Approximation Formulae via Genetic Programming
|
Streeter, Matthew |
|
2003 |
|
3 |
p. 255-286 |
artikel |
34 |
Bayesian Methods for Efficient Genetic Programming
|
Byong-Tak Zhang |
|
2000 |
|
3 |
p. 217-242 26 p. |
artikel |
35 |
Bayesian Methods for Efficient Genetic Programming
|
Zhang, Byong-Tak |
|
2000 |
|
3 |
p. 217-242 |
artikel |
36 |
Behavioral Diversity and a Probabilistically Optimal GP Ensemble
|
Kosuke Imamura |
|
2003 |
|
3 |
p. 235-253 19 p. |
artikel |
37 |
Behavioral Diversity and a Probabilistically Optimal GP Ensemble
|
Imamura, Kosuke |
|
2003 |
|
3 |
p. 235-253 |
artikel |
38 |
Biologically Inspired Algorithms for Financial Modelling
|
Kaboudan, Mak |
|
2006 |
|
3 |
p. 285-286 |
artikel |
39 |
Biomimetic Representation with Enzyme Genetic Programming
|
Lones, Michael A. |
|
2002 |
|
3 |
p. 315 |
artikel |
40 |
Book Review: Data Mining and Knowledge Discovery with Evolutionary Programs
|
David J. Hand |
|
2003 |
|
3 |
p. 287-289 4 p. |
artikel |
41 |
Book Review: Data Mining and Knowledge Discovery with Evolutionary Programs
|
Hand, David J. |
|
2003 |
|
3 |
p. 287-289 |
artikel |
42 |
Book Review: Foundations of Genetic Programming
|
Povinelli, Richard J. |
|
2004 |
|
3 |
p. 319-320 |
artikel |
43 |
Book Review Foundations of Genetic Programming
|
Richard J. Povinelli |
|
2004 |
|
3 |
p. 319-320 2 p. |
artikel |
44 |
Book Review: Genetic Programming and Data Structures: Genetic ProgrammingData StructuresAutomatic Programming
|
Lance D. Chambers |
|
2001 |
|
3 |
p. 301-303 3 p. |
artikel |
45 |
Book Review: Genetic Programming and Data Structures: Genetic Programming+Data Structures=Automatic Programming
|
Chambers, Lance D. |
|
2001 |
|
3 |
p. 301-303 |
artikel |
46 |
Book Review: Illustrating Evolutionary Computation with Mathematica
|
Marc Ebner |
|
2003 |
|
3 |
p. 291-294 3 p. |
artikel |
47 |
Book Review: Illustrating Evolutionary Computation with Mathematica
|
Ebner, Marc |
|
2003 |
|
3 |
p. 291-294 |
artikel |
48 |
Cameron Browne: Evolutionary game design, Springer briefs in computer science series
|
Boumaza, Amine |
|
2012 |
|
3 |
p. 407-409 |
artikel |
49 |
Challenges of evolvable hardware: past, present and the path to a promising future
|
Haddow, Pauline C. |
|
2011 |
|
3 |
p. 183-215 |
artikel |
50 |
Cyclic metamorphic memory for cellular bio-inspired electronic systems
|
Samie, M. |
|
2008 |
|
3 |
p. 183-201 |
artikel |
51 |
Data exploration in evolutionary reconstruction of PET images
|
Gray, Cameron C. |
|
2018 |
|
3 |
p. 391-419 |
artikel |
52 |
Designing robust volunteer-based evolutionary algorithms
|
Laredo, J. L. J. |
|
2014 |
|
3 |
p. 221-244 |
artikel |
53 |
Distilling the salient features of natural systems: Commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Whigham, Dick and Maclaurin
|
O’Neill, Michael |
|
2017 |
|
3 |
p. 379-383 |
artikel |
54 |
EA-based resynthesis: an efficient tool for optimization of digital circuits
|
Kocnova, Jitka |
|
|
|
3 |
p. 287-319 |
artikel |
55 |
Editorial Introduction
|
Trujillo, Leonardo |
|
|
|
3 |
p. 305-307 |
artikel |
56 |
Embryonics: A Bio-Inspired Cellular Architecture with Fault-Tolerant Properties
|
Cesar Ortega-Sanchez |
|
2000 |
|
3 |
p. 187-215 29 p. |
artikel |
57 |
Embryonics: A Bio-Inspired Cellular Architecture with Fault-Tolerant Properties
|
Ortega-Sanchez, Cesar |
|
2000 |
|
3 |
p. 187-215 |
artikel |
58 |
Erratum
|
|
|
2002 |
|
3 |
p. 315-315 1 p. |
artikel |
59 |
Evolutionary algorithms and synthetic biology for directed evolution: commentary on “on the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
|
Kell, Douglas B. |
|
2017 |
|
3 |
p. 373-378 |
artikel |
60 |
Evolutionary approximation and neural architecture search
|
Pinos, Michal |
|
|
|
3 |
p. 351-374 |
artikel |
61 |
Evolutionary computation: a unified approach
|
Reeves, Colin R. |
|
2007 |
|
3 |
p. 293-295 |
artikel |
62 |
Evolutionary Design of Arbitrarily Large Sorting Networks Using Development
|
Sekanina, Lukáš |
|
2005 |
|
3 |
p. 319-347 |
artikel |
63 |
Evolutionary design of Evolutionary Algorithms
|
Dioşan, Laura |
|
2009 |
|
3 |
p. 263-306 |
artikel |
64 |
Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming
|
Hu, Ting |
|
2012 |
|
3 |
p. 305-337 |
artikel |
65 |
Evolutionary model building under streaming data for classification tasks: opportunities and challenges
|
Heywood, Malcolm I. |
|
2014 |
|
3 |
p. 283-326 |
artikel |
66 |
Evolution, Generality and Robustness of Emerged Surrounding Behavior in Continuous Predators-Prey Pursuit Problem
|
Tanev, Ivan |
|
2005 |
|
3 |
p. 301-318 |
artikel |
67 |
Evolvability and robustness in artificial evolving systems: three perturbations
|
Altenberg, Lee |
|
2014 |
|
3 |
p. 275-280 |
artikel |
68 |
Evolvable hardware
|
Valle Simoes, Eduardo do |
|
2007 |
|
3 |
p. 287-288 |
artikel |
69 |
Evolvable Reasoning Hardware: Its Prototyping and Performance Evaluation
|
Moritoshi Yasunaga |
|
2001 |
|
3 |
p. 211-230 20 p. |
artikel |
70 |
Evolvable Reasoning Hardware: Its Prototyping and Performance Evaluation
|
Yasunaga, Moritoshi |
|
2001 |
|
3 |
p. 211-230 |
artikel |
71 |
Evolving autoencoding structures through genetic programming
|
Rodriguez-Coayahuitl, Lino |
|
2019 |
|
3 |
p. 413-440 |
artikel |
72 |
Evolving encapsulated programs as shared grammars
|
Luerssen, Martin H. |
|
2008 |
|
3 |
p. 203-228 |
artikel |
73 |
Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules
|
Helen E. Johnson |
|
2000 |
|
3 |
p. 243-258 16 p. |
artikel |
74 |
Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules
|
Johnson, Helen E. |
|
2000 |
|
3 |
p. 243-258 |
artikel |
75 |
Feature extraction by grammatical evolution for one-class time series classification
|
Mauceri, Stefano |
|
|
|
3 |
p. 267-295 |
artikel |
76 |
Formal verification of candidate solutions for post-synthesis evolutionary optimization in evolvable hardware
|
Vasicek, Zdenek |
|
2011 |
|
3 |
p. 305-327 |
artikel |
77 |
Genetic programming-based regression for temporal data
|
Kuranga, Cry |
|
|
|
3 |
p. 297-324 |
artikel |
78 |
Genetic programming for medical classification: a program simplification approach
|
Zhang, Mengjie |
|
2008 |
|
3 |
p. 229-255 |
artikel |
79 |
Genetic Programming for Mining DNA Chip Data from Cancer Patients
|
Langdon, W. B. |
|
2004 |
|
3 |
p. 251-257 |
artikel |
80 |
Genetic Programming for Mining DNA Chip Data from Cancer Patients
|
W. B. Langdon |
|
2004 |
|
3 |
p. 251-257 7 p. |
artikel |
81 |
Genetic Programming with a Genetic Algorithm for Feature Construction and Selection
|
Smith, Matthew G. |
|
2005 |
|
3 |
p. 265-281 |
artikel |
82 |
Genotype–phenotype mapping implications for genetic programming representation: Commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
|
Ekárt, Anikó |
|
2017 |
|
3 |
p. 369-372 |
artikel |
83 |
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case
|
Santana, Roberto |
|
2019 |
|
3 |
p. 385-411 |
artikel |
84 |
GP-Gammon: Genetically Programming Backgammon Players
|
Azaria, Yaniv |
|
2005 |
|
3 |
p. 283-300 |
artikel |
85 |
GP-Sumo: Using genetic programming to evolve sumobots
|
Sharabi, Shai |
|
2006 |
|
3 |
p. 211-230 |
artikel |
86 |
Graph grammars for evolutionary 3D design
|
McDermott, James |
|
2013 |
|
3 |
p. 369-393 |
artikel |
87 |
Guest editorial: special issue on biologically inspired music, sound, art and design
|
Romero, Juan |
|
2013 |
|
3 |
p. 281-286 |
artikel |
88 |
Guest editorial: Special issue on genetic programming, evolutionary computation and visualization
|
Boukhelifa, Nadia |
|
2018 |
|
3 |
p. 313-315 |
artikel |
89 |
Guest editorial: special issue on selected papers from the European conference on genetic programming
|
Silva, Sara |
|
2012 |
|
3 |
p. 271-273 |
artikel |
90 |
Hardware architecture of the Protein Processing Associative Memory and the effects of dimensionality and quantisation on performance
|
Qadir, Omer |
|
2014 |
|
3 |
p. 245-274 |
artikel |
91 |
Hardware spiking neural network prototyping and application
|
Cawley, Seamus |
|
2011 |
|
3 |
p. 257-280 |
artikel |
92 |
Horizontal gene transfer for recombining graphs
|
Atkinson, Timothy |
|
|
|
3 |
p. 321-347 |
artikel |
93 |
Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems
|
Barrett, Steven J. |
|
2006 |
|
3 |
p. 283-284 |
artikel |
94 |
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set
|
Aldeia, Guilherme Seidyo Imai |
|
|
|
3 |
p. 309-349 |
artikel |
95 |
Introducing Design Automation for Quantum Computing, Alwin Zulehner and Robert Wille. ISBN 978-3-030-41753-6, 2020, Springer International Publishing. 222 Pages, 51 b/w illustrations, 14 illustrations in colour
|
Harper, Robin |
|
|
|
3 |
p. 387-389 |
artikel |
96 |
Introduction: special issue on evolvable hardware challenges
|
Haddow, Pauline C. |
|
2011 |
|
3 |
p. 181-182 |
artikel |
97 |
Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems
|
Mesquita, Antonio |
|
2008 |
|
3 |
p. 275-277 |
artikel |
98 |
Introduction to the peer commentary special section on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
|
Spector, Lee |
|
2017 |
|
3 |
p. 351-352 |
artikel |
99 |
Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification
|
Barros, Rodrigo C. |
|
2014 |
|
3 |
p. 241-281 |
artikel |
100 |
Just because it works: a response to comments on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms”
|
Whigham, Peter A. |
|
2017 |
|
3 |
p. 399-405 |
artikel |
101 |
Learning aesthetic judgements in evolutionary art systems
|
Li, Yang |
|
2013 |
|
3 |
p. 315-337 |
artikel |
102 |
Learning feature spaces for regression with genetic programming
|
La Cava, William |
|
|
|
3 |
p. 433-467 |
artikel |
103 |
Learning to rank: new approach with the layered multi-population genetic programming on click-through features
|
Keyhanipour, Amir Hosein |
|
2016 |
|
3 |
p. 203-230 |
artikel |
104 |
Local search in speciation-based bloat control for genetic programming
|
Juárez-Smith, Perla |
|
2019 |
|
3 |
p. 351-384 |
artikel |
105 |
MicroGP—An Evolutionary Assembly Program Generator
|
Squillero, Giovanni |
|
2005 |
|
3 |
p. 247-263 |
artikel |
106 |
Mike Preuss: Multimodal optimization by means of evolutionary algorithms
|
Al-Madi, Nailah |
|
2016 |
|
3 |
p. 315-316 |
artikel |
107 |
Molecular Computing
|
|
|
2005 |
|
3 |
p. 349-351 |
artikel |
108 |
Multi-objective evolutionary design and knowledge discovery of logic circuits based on an adaptive genetic algorithm
|
Zhao, Shuguang |
|
2006 |
|
3 |
p. 195-210 |
artikel |
109 |
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality
|
Lensen, Andrew |
|
|
|
3 |
p. 399-431 |
artikel |
110 |
Multi-Objective Methods for Tree Size Control
|
Edwin D. de Jong |
|
2003 |
|
3 |
p. 211-233 23 p. |
artikel |
111 |
Multi-Objective Methods for Tree Size Control
|
de Jong, Edwin D. |
|
2003 |
|
3 |
p. 211-233 |
artikel |
112 |
On evolvability and robustness in the matrix-GRT model
|
Tangen, Uwe |
|
2014 |
|
3 |
p. 343-374 |
artikel |
113 |
On the importance of specialists for lexicase selection
|
Helmuth, Thomas |
|
|
|
3 |
p. 349-373 |
artikel |
114 |
On the mapping of genotype to phenotype in evolutionary algorithms
|
Whigham, Peter A. |
|
2017 |
|
3 |
p. 353-361 |
artikel |
115 |
Open BEAGLE: a generic framework for evolutionary computations
|
Batenkov, Dmitry |
|
2011 |
|
3 |
p. 329-331 |
artikel |
116 |
(Over-)Realism in evolutionary computation: Commentary on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
|
Squillero, G. |
|
2017 |
|
3 |
p. 391-393 |
artikel |
117 |
Parallel linear genetic programming for multi-class classification
|
Downey, Carlton |
|
2012 |
|
3 |
p. 275-304 |
artikel |
118 |
Parameter identification for symbolic regression using nonlinear least squares
|
Kommenda, Michael |
|
|
|
3 |
p. 471-501 |
artikel |
119 |
Patricia Vargas, Ezequiel Di Paolo, Inman Harvey, and Phil Husbands (eds), The Horizons of Evolutionary Robotics, The MIT Press, 2014, ISBN: 978-0-262-02676-5, Hardcover book, 302 pages
|
Lehman, Joel |
|
2015 |
|
3 |
p. 393-395 |
artikel |
120 |
Prediction of the natural gas consumption in chemical processing facilities with genetic programming
|
Kovačič, Miha |
|
2016 |
|
3 |
p. 231-249 |
artikel |
121 |
Principles in the Evolutionary Design of Digital CircuitsPart II
|
Julian F. Miller |
|
2000 |
|
3 |
p. 259-288 30 p. |
artikel |
122 |
Principles in the Evolutionary Design of Digital Circuits—Part II
|
Miller, Julian F. |
|
2000 |
|
3 |
p. 259-288 |
artikel |
123 |
Probing the axioms of evolutionary algorithm design: Commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
|
Altenberg, Lee |
|
2017 |
|
3 |
p. 363-367 |
artikel |
124 |
Problem Difficulty and Code Growth in Genetic Programming
|
Gustafson, Steven |
|
2004 |
|
3 |
p. 271-290 |
artikel |
125 |
Problem Difficulty and Code Growth in Genetic Programming
|
Steven Gustafson |
|
2004 |
|
3 |
p. 271-290 20 p. |
artikel |
126 |
Reinforced Genetic Programming
|
Keith L. Downing |
|
2001 |
|
3 |
p. 259-288 30 p. |
artikel |
127 |
Reinforced Genetic Programming
|
Downing, Keith L. |
|
2001 |
|
3 |
p. 259-288 |
artikel |
128 |
Remembering GECCO-99A Short Summary
|
Justinian Roscas |
|
2000 |
|
3 |
p. 297-300 4 p. |
artikel |
129 |
Remembering GECCO-99—A Short Summary
|
Roscas, Justinian |
|
2000 |
|
3 |
p. 297-300 |
artikel |
130 |
Resource Review: A Web-Based Tour of Genetic Programming
|
Brad Dolin |
|
2002 |
|
3 |
p. 311-313 3 p. |
artikel |
131 |
Resource Review: A Web-Based Tour of Genetic Programming
|
Dolin, Brad |
|
2002 |
|
3 |
p. 311-313 |
artikel |
132 |
Review and comparative analysis of geometric semantic crossovers
|
Pawlak, Tomasz P. |
|
2014 |
|
3 |
p. 351-386 |
artikel |
133 |
Scaled Symbolic Regression
|
Keijzer, Maarten |
|
2004 |
|
3 |
p. 259-269 |
artikel |
134 |
Scaled Symbolic Regression
|
Maarten Keijzer |
|
2004 |
|
3 |
p. 259-269 11 p. |
artikel |
135 |
Sean Luke: essentials of metaheuristics
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