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                             168 gevonden resultaten
nr titel auteur tijdschrift jaar jaarg. afl. pagina('s) type
1 Acknowledgment Banzhaf, W.
2005
2 p. 137-138
artikel
2 A DNA Computing-based Genetic Program for In Vitro Protein Evolution via Constrained Pseudomodule Shuffling Rose, John A.
2003
2 p. 139-152
artikel
3 A DNA Computingbased Genetic Program for In Vitro Protein Evolution via Constrained Pseudomodule Shuffling John A. Rose
2003
2 p. 139-152
14 p.
artikel
4 A hierarchical genetic algorithm approach for curve fitting with B-splines Garcia-Capulin, C. H.
2014
2 p. 151-166
artikel
5 Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization de França, Fabrício Olivetti

2 artikel
6 A Markovianity based optimisation algorithm Shakya, Siddhartha
2011
2 p. 159-195
artikel
7 A module-level three-stage approach to the evolutionary design of sequential logic circuits Tao, Yanyun
2012
2 p. 191-219
artikel
8 A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks Saber, Takfarinas
2019
2 p. 245-283
artikel
9 An analysis of the genetic marker diversity algorithm for genetic programming Burks, Armand R.
2016
2 p. 213-245
artikel
10 An enhanced Huffman-PSO based image optimization algorithm for image steganography Sharma, Neha

2 p. 189-205
artikel
11 An ensemble-based evolutionary framework for coping with distributed intrusion detection Folino, Gianluigi
2010
2 p. 131-146
artikel
12 A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization Moradabadi, Behnaz
2013
2 p. 169-193
artikel
13 A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization Moradabadi, Behnaz
2016
2 p. 145-167
artikel
14 An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data de Sousa, Janaína S.
2004
2 p. 157-179
artikel
15 An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data Janaína S. de Sousa
2004
2 p. 157-179
23 p.
artikel
16 An iterative genetic programming approach to prototype generation Valencia-Ramírez, José María
2016
2 p. 123-147
artikel
17 Anthony Brabazon, Michael O’Neill, Sean McGarraghy: Natural computing algorithms Ludwig, Simone A.
2016
2 p. 193-195
artikel
18 A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding Najaran, Mohammad Hassan Tayarani

2 artikel
19 A review of procedures to evolve quantum algorithms Gepp, Adrian
2009
2 p. 181-228
artikel
20 A survey of semantic methods in genetic programming Vanneschi, Leonardo
2014
2 p. 195-214
artikel
21 Balanced Cartesian Genetic Programming via migration and opposition-based learning: application to symbolic regression Yazdani, Samaneh
2014
2 p. 133-150
artikel
22 Biomimetic Representation with Genetic Programming Enzyme Lones, Michael A.
2002
2 p. 193-217
artikel
23 Biomimetic Representation with Genetic Programming Enzyme Michael A. Lones
2002
2 p. 193-217
25 p.
artikel
24 Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios Contador, Sergio

2 p. 161-192
artikel
25 Book Review: Automatic Re-Engineering of Software Using Genetic Programming Mahdavi, Kiarash
2002
2 p. 219-221
artikel
26 Book Review: Automatic Re-Engineering of Software Using Genetic Programming Kiarash Mahdavi
2002
2 p. 219-221
3 p.
artikel
27 Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications Alex A. Freitas
2001
2 p. 197-199
3 p.
artikel
28 Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications Freitas, Alex A.
2001
2 p. 197-199
artikel
29 Book Review: Evolutionary Computation in Bioinformatics Raymer, Michael L.
2005
2 p. 229-230
artikel
30 Book Review: Genetic ProgrammingAn Introduction: On the Automatic Evolution of Computer Programs and Its Applications William Punch
2001
2 p. 193-195
3 p.
artikel
31 Book Review: Genetic Programming—An Introduction: On the Automatic Evolution of Computer Programs and Its Applications Punch, William
2001
2 p. 193-195
artikel
32 Book Review: Genetic Programming IV: Routine Human-Competitive Machine Intelligence Fonlupt, Cyril
2005
2 p. 231-233
artikel
33 Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning Ando, Shin
2004
2 p. 145-156
artikel
34 Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning Shin Ando
2004
2 p. 145-156
12 p.
artikel
35 Commentary for the GPEM peer commentary special section on W. B. Langdon’s “Jaws 30” Castelli, Mauro

2 artikel
36 Commentary on “Jaws 30”, by W. B. Langdon Bartoli, Alberto

2 artikel
37 Compositional pattern producing networks: A novel abstraction of development Stanley, Kenneth O.

2 p. 131-162
artikel
38 Compositional pattern producing networks: A novel abstraction of development Stanley, Kenneth O.
2007
2 p. 131-162
artikel
39 Computation by Self-assembly of DNA Graphs Jonoska, NataŠa
2003
2 p. 123-137
artikel
40 Computation by Selfassembly of DNA Graphs Nataa Jonoska
2003
2 p. 123-137
15 p.
artikel
41 Controllable procedural map generation via multiobjective evolution Togelius, Julian
2013
2 p. 245-277
artikel
42 Daren C. Brabham: Crowdsourcing Yu, Lixiu
2014
2 p. 219-220
artikel
43 Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search Wittenberg, David

2 artikel
44 Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms Wilson, Garnett
2010
2 p. 147-184
artikel
45 Detecting the epistatic structure of generalized embedded landscape Zhou, Shude
2007
2 p. 125-155
artikel
46 Discovering novel memory cell designs for sentiment analysis on tweets Nistor, Sergiu Cosmin

2 p. 147-187
artikel
47 Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories Silva, Sara
2009
2 p. 141-179
artikel
48 Ecological Model Selection via Evolutionary Computation and Information Theory Hoffmann, James P.
2004
2 p. 229-241
artikel
49 Ecological Model Selection via Evolutionary Computation and Information Theory James P. Hoffmann
2004
2 p. 229-241
13 p.
artikel
50 Editorial Banzhaf, Wolfgang
2005
2 p. 135-136
artikel
51 Editorial: Computation in Gene Expression Kargupta, Hillol
2002
2 p. 111-112
artikel
52 Editorial: Computation in Gene Expression Hillol Kargupta
2002
2 p. 111-112
2 p.
artikel
53 Editorial Introduction Banzhaf, Wolfgang
2004
2 p. 119-120
artikel
54 Editorial Introduction Wolfgang Banzhaf
2004
2 p. 119-120
2 p.
artikel
55 Editorial introduction to the special issue on developmental systems Hornby, Gregory S.

2 p. 111-113
artikel
56 Editorial introduction to the special issue on developmental systems Hornby, Gregory S.
2007
2 p. 111-113
artikel
57 Efficiency improvement of genetic network programming by tasks decomposition in different types of environments Roshanzamir, Mohamad

2 p. 229-266
artikel
58 Erratum to: Gusz Eiben and Jim Smith: Introduction to evolutionary computing (second edition) Popyack, Jeffrey L.
2016
2 p. 201
artikel
59 Eureqa: software review Dubčáková, Renáta
2010
2 p. 173-178
artikel
60 EvAg: a scalable peer-to-peer evolutionary algorithm Laredo, J. L. J.
2009
2 p. 227-246
artikel
61 Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience Schneider, Stefan
2004
2 p. 215-227
artikel
62 Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience Stefan Schneider
2004
2 p. 215-227
13 p.
artikel
63 Evolutionary design and analysis of ribozyme-based logic gates Kamel, Nicolas

2 artikel
64 Evolutionary design of complex approximate combinational circuits Vasicek, Zdenek
2015
2 p. 169-192
artikel
65 Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums Meza-Sánchez, Marlen

2 artikel
66 Evolutionary dynamics for the spatial Moran process Whigham, P. A.
2007
2 p. 157-170
artikel
67 Evolutionary Scheduling: A Review Hart, Emma
2005
2 p. 191-220
artikel
68 Evolutive Introns: A Non-Costly Method of Using Introns in GP Santiago Garci´a Carbajal
2001
2 p. 111-122
12 p.
artikel
69 Evolutive Introns: A Non-Costly Method of Using Introns in GP Carbajal, Santiago Garci´a
2001
2 p. 111-122
artikel
70 Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation Varela, Daniel

2 p. 225-252
artikel
71 Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control Fukunaga, Alex
2011
2 p. 239-263
artikel
72 Evolving robot sub-behaviour modules using Gene Expression Programming Mwaura, Jonathan
2014
2 p. 95-131
artikel
73 EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle Bari, A. T. M. Golam
2019
2 p. 213-244
artikel
74 Exact Schema Theory for Genetic Programming and Variable-Length Genetic Algorithms with One-Point Crossover Riccardo Poli
2001
2 p. 123-163
41 p.
artikel
75 Exact Schema Theory for Genetic Programming and Variable-Length Genetic Algorithms with One-Point Crossover Poli, Riccardo
2001
2 p. 123-163
artikel
76 Exploring non-photorealistic rendering with genetic programming Baniasadi, Maryam
2014
2 p. 211-239
artikel
77 Finding needles in haystacks is harder with neutrality Collins, M.
2006
2 p. 131-144
artikel
78 GAAMmf: genetic algorithm with aggressive mutation and decreasing feature set for feature selection Izabela, Rejer

2 artikel
79 Genetic Programming and Evolvable Machines: Five Years of Reviews Langdon, W. B.
2005
2 p. 221-228
artikel
80 Genetic programming for iterative numerical methods Sobania, Dominik

2 p. 253-278
artikel
81 GP-DMD: a genetic programming variant with dynamic management of diversity Nieto-Fuentes, Ricardo

2 p. 279-304
artikel
82 Grammar-based generation of variable-selection heuristics for constraint satisfaction problems Sosa-Ascencio, Alejandro
2015
2 p. 119-144
artikel
83 Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two Tomassini, Marco
2010
2 p. 129-130
artikel
84 Gusz Eiben and Jim Smith (Eds): Introduction to evolutionary computing Popyack, Jeffrey L.
2016
2 p. 197-199
artikel
85 Have your spaghetti and eat it too: evolutionary algorithmics and post-evolutionary analysis Wolfson, Kfir
2010
2 p. 121-160
artikel
86 Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks Vidnerová, Petra
2019
2 p. 151-153
artikel
87 Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning Veeramachaneni, Kalyan
2010
2 p. 179-180
artikel
88 Improving analytical models of circular concrete columns with genetic programming polynomials Tsai, Hsing-Chih
2012
2 p. 221-243
artikel
89 Incorporating characteristics of human creativity into an evolutionary art algorithm DiPaola, Steve
2008
2 p. 97-110
artikel
90 Inference of hidden variables in systems of differential equations with genetic programming Cornforth, Theodore W.
2012
2 p. 155-190
artikel
91 Integrating generative growth and evolutionary computation for form exploration O’Reilly, Una-May

2 p. 163-186
artikel
92 Integrating generative growth and evolutionary computation for form exploration O’Reilly, Una-May
2007
2 p. 163-186
artikel
93 Introducing artificial evolution into peer-to-peer networks with the distributed remodeling framework Amoretti, Michele
2013
2 p. 127-153
artikel
94 Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings Wilson, Garnett

2 p. 187-220
artikel
95 Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings Wilson, Garnett
2007
2 p. 187-220
artikel
96 Introduction to the peer commentary special section on “Jaws 30” by W. B. Langdon Vanneschi, Leonardo

2 artikel
97 Is the evolution metaphor still necessary or even useful for genetic programming? Moore, Jason H.

2 artikel
98 Jaws 30 Langdon, W. B.

2 artikel
99 John H. Holland: Signals and boundaries: building blocks for complex adaptive systems Robilliard, Denis
2013
2 p. 279-280
artikel
100 Learning local linear Jacobians for flexible and adaptive robot arm control Stalph, Patrick O.
2011
2 p. 137-157
artikel
101 Long Random Linear Programs Do Not Generalize W. B. Langdon
2001
2 p. 95-100
6 p.
artikel
102 Long Random Linear Programs Do Not Generalize Langdon, W. B.
2001
2 p. 95-100
artikel
103 Moshe Sipper: Evolved to Win Gosling, Timothy
2012
2 p. 269-270
artikel
104 Motility, mixing, and multicellularity Solari, Cristian A.

2 p. 115-129
artikel
105 Motility, mixing, and multicellularity Solari, Cristian A.
2007
2 p. 115-129
artikel
106 Multiobjective optimization algorithms for motif discovery in DNA sequences González-Álvarez, David L.
2014
2 p. 167-209
artikel
107 Multiple Sequence Alignment with Evolutionary Computation Shyu, Conrad
2004
2 p. 121-144
artikel
108 Multiple Sequence Alignment with Evolutionary Computation Conrad Shyu
2004
2 p. 121-144
24 p.
artikel
109 New directions in fitness evaluation: commentary on Langdon’s JAWS30 Johnson, Colin G.

2 artikel
110 Nirupam Chakraborti: Data-Driven Evolutionary Modeling in Materials Technology Kabliman, Evgeniya

2 artikel
111 On Appropriate Adaptation Levels for the Learning of Gene Linkage Smith, James
2002
2 p. 129-155
artikel
112 On Appropriate Adaptation Levels for the Learning of Gene Linkage James Smith
2002
2 p. 129-155
27 p.
artikel
113 On the hybridization of geometric semantic GP with gradient-based optimizers Pietropolli, Gloria

2 artikel
114 On the impact of objective function transformations on evolutionary and black-box algorithms Storch, Tobias
2006
2 p. 171-193
artikel
115 On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics Nametala, Ciniro A. L.

2 p. 193-223
artikel
116 On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming Mora, Javier
2018
2 p. 155-186
artikel
117 Operator equalisation for bloat free genetic programming and a survey of bloat control methods Silva, Sara
2011
2 p. 197-238
artikel
118 Partial-DNA cyclic memory for bio-inspired electronic cell Zhu, Sai
2015
2 p. 83-117
artikel
119 Particle Swarm Optimisation for Protein Motif Discovery Chang, Bill C. H.
2004
2 p. 203-214
artikel
120 Particle Swarm Optimisation for Protein Motif Discovery Bill C. H. Chang
2004
2 p. 203-214
12 p.
artikel
121 Probabilistic model building in genetic programming: a critical review Kim, Kangil
2013
2 p. 115-167
artikel
122 Quotients of Markov chains and asymptotic properties of the stationary distribution of the Markov chain associated to an evolutionary algorithm Mitavskiy, Boris
2007
2 p. 109-123
artikel
123 Recurrent Cartesian Genetic Programming of Artificial Neural Networks Turner, Andrew James
2016
2 p. 185-212
artikel
124 Recursion in tree-based genetic programming Agapitos, Alexandros
2016
2 p. 149-183
artikel
125 Response to comments on “Jaws 30” Langdon, W. B.

2 artikel
126 Review: Discipulus: A Commercial Genetic Programming System James A. Foster
2001
2 p. 201-203
3 p.
artikel
127 Review: Discipulus: A Commercial Genetic Programming System Foster, James A.
2001
2 p. 201-203
artikel
128 Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms Nilsen, Mathias K.

2 artikel
129 Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming O’Neill, Michael
2008
2 p. 229-230
artikel
130 Self-Assembly of DNA-like Structures In Silico Garzon, Max
2003
2 p. 185-200
artikel
131 SelfAssembly of DNAlike Structures In Silico Max Garzon
2003
2 p. 185-200
16 p.
artikel
132 Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case Krasnogor, N.
2004
2 p. 181-201
artikel
133 Self Generating Metaheuristics in Bioinformatics The Proteins Structure Comparison Case N. Krasnogor
2004
2 p. 181-201
21 p.
artikel
134 Semantically-based crossover in genetic programming: application to real-valued symbolic regression Uy, Nguyen Quang
2010
2 p. 91-119
artikel
135 Semantic segmentation network stacking with genetic programming Bakurov, Illya

2 artikel
136 Simdist: a distribution system for easy parallelization of evolutionary computation Høverstad, Boye Annfelt
2010
2 p. 185-203
artikel
137 Simulations of DNA Computing with In Vitro Selection Nuser, Maryam
2003
2 p. 173-183
artikel
138 Simulations of DNA Computing with In Vitro Selection Maryam Nuser
2003
2 p. 173-183
11 p.
artikel
139 Software review: CGP-Library Pedrino, Emerson Carlos
2017
2 p. 279-281
artikel
140 Software review: the HeuristicLab framework Elyasaf, Achiya
2014
2 p. 215-218
artikel
141 Software Tools for DNA Sequence Design Feldkamp, Udo
2003
2 p. 153-171
artikel
142 Software Tools for DNA Sequence Design Udo Feldkamp
2003
2 p. 153-171
19 p.
artikel
143 Solving metameric variable-length optimization problems using genetic algorithms Ryerkerk, Matthew L.
2016
2 p. 247-277
artikel
144 Solving Multiobjective Optimization Problems Using an Artificial Immune System Coello, Carlos A. Coello
2005
2 p. 163-190
artikel
145 Special Issue: Best of GECCO 2005 Beyer, Hans-Georg
2006
2 p. 129-130
artikel
146 Special Issue on Biomolecular Machines and Artificial Evolution Garzon, Max H.
2003
2 p. 107-109
artikel
147 Special Issue on Biomolecular Machines and Artificial Evolution Max H. Garzon
2003
2 p. 107-109
3 p.
artikel
148 The Darwinian Genetic Code: An Adaptation for Adapting? Freeland, Stephen J.
2002
2 p. 113-127
artikel
149 The Darwinian Genetic Code: An Adaptation for Adapting? Stephen J. Freeland
2002
2 p. 113-127
15 p.
artikel
150 The Fast Evaluation Strategy for Evolvable Hardware Salami, Mehrdad
2005
2 p. 139-162
artikel
151 Theoretical foundations of evolutionary computation Li, Xiaodong
2007
2 p. 107-108
artikel
152 The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm Wu, Annie S.
2002
2 p. 157-192
artikel
153 The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm Annie S. Wu
2002
2 p. 157-192
36 p.
artikel
154 TPOT-NN: augmenting tree-based automated machine learning with neural network estimators Romano, Joseph D.

2 p. 207-227
artikel
155 Tracer spectrum: a visualisation method for distributed evolutionary computation O’Neill, Michael
2010
2 p. 161-171
artikel
156 Using an Individual Evolution Strategy for Stereovision Jean Louchet
2001
2 p. 101-109
9 p.
artikel
157 Using an Individual Evolution Strategy for Stereovision Louchet, Jean
2001
2 p. 101-109
artikel
158 Using DNA to Power Nanostructures Yurke, Bernard
2003
2 p. 111-122
artikel
159 Using DNA to Power Nanostructures Bernard Yurke
2003
2 p. 111-122
12 p.
artikel
160 Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis Winkler, Stephan M.
2008
2 p. 111-140
artikel
161 Using genetic algorithms for early schedulability analysis and stress testing in real-time systems Briand, Lionel C.
2006
2 p. 145-170
artikel
162 Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm Hu, Ting
2010
2 p. 205-225
artikel
163 Vector quantization using the improved differential evolution algorithm for image compression Nag, Sayan
2019
2 p. 187-212
artikel
164 Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30” Squillero, Giovanni

2 artikel
165 W. B. Langdon “Jaws 30” Heywood, Malcolm I.

2 artikel
166 W. Brian Arthur: The nature of technology: what it is and how it evolves Ozman, Muge
2012
2 p. 265-267
artikel
167 What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming Jason M. Daida
2001
2 p. 165-191
27 p.
artikel
168 What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming Daida, Jason M.
2001
2 p. 165-191
artikel
                             168 gevonden resultaten
 
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