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Wolfgang Banzhaf - Publications

Affiliations: 
Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada 
Area:
Computer Science, Artificial Intelligence, Bioinformatics Biology
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46 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Recio G, Banzhaf W, White R. From Dynamics to Novelty: An Agent-Based Model of the Economic System. Artificial Life. 1-38. PMID 35584291 DOI: 10.1162/artl_a_00365  0.659
2020 Fernandez de Vega F, Olague G, Lanza D, Chavez de la O F, Banzhaf W, Goodman E, Menendez-Clavijo J, Martinez A. Time and Individual Duration in Genetic Programming Ieee Access. 8: 38692-38713. DOI: 10.1109/Access.2020.2975753  0.359
2020 Hu T, Tomassini M, Banzhaf W. A network perspective on genotype–phenotype mapping in genetic programming Genetic Programming and Evolvable Machines. 21: 375-397. DOI: 10.1007/S10710-020-09379-0  0.322
2019 Chilaka C, Carr S, Shalaby N, Banzhaf W. Prediction of normalized signal strength on DNA sequencing microarrays by n-grams within a neural network model. Bioinformation. 15: 388-393. PMID 31312075 DOI: 10.6026/97320630015388  0.754
2018 Cussat-Blanc S, Harrington K, Banzhaf W. Artificial Gene Regulatory Networks-A Review. Artificial Life. 24: 296-328. PMID 30681915 DOI: 10.1162/Artl_A_00267  0.323
2018 Yuan Y, Banzhaf W. ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming Ieee Transactions On Software Engineering. 1-1. DOI: 10.1109/Tse.2018.2874648  0.35
2018 Melo VVd, Banzhaf W. Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid Information Sciences. 430: 287-313. DOI: 10.1016/J.Ins.2017.11.041  0.33
2017 Chilaka C, Carr S, Shalaby N, Banzhaf W. Use of a neural network to predict normalized signal strengths from a DNA-sequencing microarray. Bioinformation. 13: 313-317. PMID 29081611 DOI: 10.6026/97320630013313  0.75
2017 Melo VVd, Banzhaf W. Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing Neurocomputing. 246: 25-44. DOI: 10.1016/J.Neucom.2016.12.077  0.313
2014 Hu T, Banzhaf W, Moore JH. The effects of recombination on phenotypic exploration and robustness in evolution. Artificial Life. 20: 457-70. PMID 25148550 DOI: 10.1162/Artl_A_00145  0.501
2014 Banzhaf W. Genetic Programming and Emergence Genetic Programming and Evolvable Machines. 15: 63-73. DOI: 10.1007/S10710-013-9196-7  0.302
2012 Hu T, Payne JL, Banzhaf W, Moore JH. Evolutionary dynamics on multiple scales: A quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming Genetic Programming and Evolvable Machines. 13: 305-337. DOI: 10.1007/S10710-012-9159-4  0.308
2010 Hu T, Banzhaf W. Evolvability and speed of evolutionary algorithms in light of recent developments in biology Journal of Artificial Evolution and Applications. 2010: 1-28. DOI: 10.1155/2010/568375  0.309
2010 Pillay N, Banzhaf W. An informed genetic algorithm for the examination timetabling problem Applied Soft Computing. 10: 457-467. DOI: 10.1016/J.Asoc.2009.08.011  0.313
2010 Harding S, Miller JF, Banzhaf W. Developments in Cartesian Genetic Programming: self-modifying CGP Genetic Programming and Evolvable Machines. 11: 397-439. DOI: 10.1007/S10710-010-9114-1  0.353
2010 O'Neill M, Vanneschi L, Gustafson S, Banzhaf W. Open issues in genetic programming Genetic Programming and Evolvable Machines. 11: 339-363. DOI: 10.1007/S10710-010-9113-2  0.311
2009 Pillay N, Banzhaf W. A study of heuristic combinations for hyper-heuristic systems for the uncapacitated examination timetabling problem European Journal of Operational Research. 197: 482-491. DOI: 10.1016/J.Ejor.2008.07.023  0.306
2008 Langdon WB, Banzhaf W. Repeated patterns in genetic programming Natural Computing. 7: 589-613. DOI: 10.1007/S11047-007-9038-8  0.35
2007 Niehaus J, Igel C, Banzhaf W. Reducing the number of fitness evaluations in graph genetic programming using a canonical graph indexed database. Evolutionary Computation. 15: 199-221. PMID 17535139 DOI: 10.1162/Evco.2007.15.2.199  0.697
2007 Leier A, Kuo PD, Banzhaf W. Analysis Of Preferential Network Motif Generation In An Artificial Regulatory Network Model Created By Duplication And Divergence Advances in Complex Systems. 10: 155-172. DOI: 10.1142/S0219525907000994  0.611
2006 Banzhaf W, Beslon G, Christensen S, Foster JA, Képès F, Lefort V, Miller JF, Radman M, Ramsden JJ. Guidelines: From artificial evolution to computational evolution: a research agenda. Nature Reviews. Genetics. 7: 729-35. PMID 16894364 DOI: 10.1038/Nrg1921  0.307
2006 Dwight Kuo P, Banzhaf W, Leier A. Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence. Bio Systems. 85: 177-200. PMID 16650928 DOI: 10.1016/J.Biosystems.2006.01.004  0.626
2006 Leier A, Kuo PD, Banzhaf W, Burrage K. Evolving noisy oscillatory dynamics in genetic regulatory networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3905: 290-299. DOI: 10.1007/11729976_26  0.589
2004 Lasarczyk CW, Dittrich P, Banzhaf W. Dynamic subset selection based on a fitness case topology. Evolutionary Computation. 12: 223-42. PMID 15157375 DOI: 10.1162/106365604773955157  0.662
2004 Feldkamp U, Wacker R, Schroeder H, Banzhaf W, Niemeyer CM. Microarray-based in vitro evaluation of DNA oligomer libraries designed in silico. Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry. 5: 367-72. PMID 15067873 DOI: 10.1002/Cphc.200300978  0.729
2004 Banzhaf W. On Evolutionary Design, Embodiment, and Artificial Regulatory Networks Lecture Notes in Computer Science. 284-292. DOI: 10.1007/978-3-540-27833-7_22  0.328
2003 Feldkamp U, Rauhe H, Banzhaf W. Software Tools for DNA Sequence Design Genetic Programming and Evolvable Machines. 4: 153-171. DOI: 10.1023/A:1023985029398  0.363
2002 Banzhaf W, Kuo PD. Network motifs in natural and artificial transcriptional regulatory networks Journal of Biological Physics and Chemistry. 4: 85-94. DOI: 10.4024/2040405.Jbpc.04.02  0.302
2002 Banzhaf W, Langdon WB. Some Considerations on the Reason for Bloat Genetic Programming and Evolvable Machines. 3: 81-91. DOI: 10.1023/A:1014548204452  0.304
2001 Dittrich P, Ziegler J, Banzhaf W. Artificial chemistries—a review Artificial Life. 7: 225-275. PMID 11712956 DOI: 10.1162/106454601753238636  0.554
2001 Brameier M, Banzhaf W. A comparison of linear genetic programming and neural networks in medical data mining Ieee Transactions On Evolutionary Computation. 5: 17-26. DOI: 10.1109/4235.910462  0.366
2001 Brameier M, Banzhaf W. Evolving Teams of Predictors with Linear Genetic Programming Genetic Programming and Evolvable Machines. 2: 381-407. DOI: 10.1023/A:1012978805372  0.364
2000 Leier A, Richter C, Banzhaf W, Rauhe H. Cryptography with DNA binary strands Biosystems. 57: 13-22. PMID 10963862 DOI: 10.1016/S0303-2647(00)00083-6  0.621
1999 Banzhaf W, Dittrich P, Eller B. Self-organization in a system of binary strings with spatial interactions Physica D: Nonlinear Phenomena. 125: 85-104. DOI: 10.1016/S0167-2789(98)00238-3  0.571
1998 Wu AS, Banzhaf W. Introduction to the special issue: variable-length representation and noncoding segments for evolutionary algorithms Evolutionary Computation. 6. PMID 10030465 DOI: 10.1162/Evco.1998.6.4.Iii  0.339
1998 Dittrich P, Banzhaf W. Self-evolution in a constructive binary string system Artificial Life. 4: 203-220. PMID 9847424 DOI: 10.1162/106454698568521  0.593
1998 Dittrich P, Bürgel A, Banzhaf W. Learning to Move a Robot with Random Morphology Lecture Notes in Computer Science. 165-178. DOI: 10.1007/3-540-64957-3_71  0.585
1996 Banzhaf W, Dittrich P, Rauhe H. Emergent computation by catalytic reactions Nanotechnology. 7: 307-314. DOI: 10.1088/0957-4484/7/4/001  0.589
1993 Banzhaf W. Self-replicating sequences of binary numbers☆ Computers & Mathematics With Applications. 26: 1-8. DOI: 10.1016/0898-1221(93)90046-X  0.308
1993 Banzhaf W. Self-replicating sequences of binary numbers. Foundations II: Strings of length N=4 Biological Cybernetics. 69: 275-281. DOI: 10.1007/Bf00203124  0.33
1993 Banzhaf W. Self-replicating sequences of binary numbers. Foundations I: General Biological Cybernetics. 69: 269-274. DOI: 10.1007/Bf00203123  0.304
1990 Banzhaf W, Haken H. Learning in a competitive network Neural Networks. 3: 423-435. DOI: 10.1016/0893-6080(90)90025-G  0.521
1990 Banzhaf W, Haken H. An energy function for specialization Physica D: Nonlinear Phenomena. 42: 257-264. DOI: 10.1016/0167-2789(90)90080-9  0.507
1990 Banzhaf W. The “molecular” traveling salesman Biological Cybernetics. 64: 7-14. DOI: 10.1007/Bf00203625  0.306
1989 Banzhaf W. Population processing--a powerful class of parallel algorithms. Biosystems. 22: 163-172. PMID 2720140 DOI: 10.1016/0303-2647(89)90044-0  0.305
1989 Haken H, Haas R, Banzhaf W. A new learning algorithm for synergetic computers Biological Cybernetics. 62: 107-111. DOI: 10.1007/Bf00202998  0.53
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