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ORCIDWilliam B. Langdon
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- affiliation: University College London, Department of Computer Science
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2020 – today
- 2025
[j55]William B. Langdon, David Clark:
Deep imperative mutations have less impact. Autom. Softw. Eng. 32(1): 6 (2025)- 2024
- [j54]William B. Langdon, Gabin An, Aymeric Blot, Vesna Nowack, Justyna Petke, Shin Yoo, Oliver Krauss, Erik M. Fredericks, Daniel Blackwell:
The 13th International Workshop on Genetic Improvement(GI @ ICSE 2024). ACM SIGSOFT Softw. Eng. Notes 49(3): 42-50 (2024) - [c117]William B. Langdon, David Clark
:
Genetic Improvement of Last Level Cache. EuroGP 2024: 209-226 - [c116]William B. Langdon, David Clark:
Deep Mutations have Little Impact. GI@ICSE 2024: 1-8 - [c115]James Callan, William B. Langdon, Justyna Petke:
On Reducing Network Usage with Genetic Improvement. GI@ICSE 2024: 23-30 - [i18]Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro:
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. CoRR abs/2407.14982 (2024) - [i17]William B. Langdon:
Implicit Test Oracles for Quantum Computing. CoRR abs/2409.14076 (2024) - 2023
- [j53]William B. Langdon:
Jaws 30. Genet. Program. Evolvable Mach. 24(2): 19 (2023) - [j52]William B. Langdon:
Response to comments on "Jaws 30". Genet. Program. Evolvable Mach. 24(2): 26 (2023) - [j51]William B. Langdon, Vesna Nowack, Justyna Petke, Markus Wagner, Hyeonseok Lee, Erik M. Fredericks, Gabin An, Aymeric Blot:
Genetic Improvement @ ICSE 2023. ACM SIGSOFT Softw. Eng. Notes 48(4): 51-59 (2023) - [c114]William B. Langdon, Afnan A. Al-Subaihin, Aymeric Blot, David Clark:
Genetic Improvement of LLVM Intermediate Representation. EuroGP 2023: 244-259 - [c113]William B. Langdon, Justyna Petke, Aymeric Blot, David Clark:
Genetically Improved Software with fewer Data Cache Misses. GECCO Companion 2023: 799-802 - [c112]William B. Langdon, Bradley J. Alexander:
Genetic Improvement of OLC and H3 with Magpie. GI 2023: 9-16 - [c111]Aidan Dakhama, Karine Even-Mendoza, William B. Langdon, Héctor D. Menéndez, Justyna Petke:
SearchGEM5: Towards Reliable Gem5 with Search Based Software Testing and Large Language Models. SSBSE 2023: 160-166 - [i16]William B. Langdon, Justyna Petke, Aymeric Blot, David Clark:
GI Software with fewer Data Cache Misses. CoRR abs/2304.03235 (2023) - 2022
- [j50]William B. Langdon, Wolfgang Banzhaf:
Long-Term Evolution Experiment with Genetic Programming. Artif. Life 28(2): 173-204 (2022) - [j49]William B. Langdon:
Dissipative Arithmetic. Complex Syst. 31(3): 287-309 (2022) - [j48]William B. Langdon:
Genetic programming convergence. Genet. Program. Evolvable Mach. 23(1): 71-104 (2022) - [j47]William B. Langdon:
Deep Genetic Programming Trees Are Robust. ACM Trans. Evol. Learn. Optim. 2(2): 6:1-6:34 (2022) - [c110]William B. Langdon:
Genetic programming convergence. GECCO Companion 2022: 27-28 - [c109]William B. Langdon, Wolfgang Banzhaf:
Long-term evolution experiment with genetic programming [hot of the press]. GECCO Companion 2022: 29-30 - [c108]William B. Langdon:
Failed disruption propagation in integer genetic programming. GECCO Companion 2022: 574-577 - [c107]William B. Langdon, Afnan A. Al-Subaihin, David Clark:
Measuring failed disruption propagation in genetic programming. GECCO 2022: 964-972 - [i15]William B. Langdon:
Failed Disruption Propagation in Integer Genetic Programming. CoRR abs/2204.13997 (2022) - [i14]William B. Langdon:
A Trillion Genetic Programming Instructions per Second. CoRR abs/2205.03251 (2022) - 2021
- [j46]William B. Langdon, Oliver Krauss:
Genetic Improvement of Data for Maths Functions. ACM Trans. Evol. Learn. Optim. 1(2): 7:1-7:30 (2021) - [c106]William B. Langdon:
Incremental Evaluation in Genetic Programming. EuroGP 2021: 229-246 - [c105]William B. Langdon, Oliver Krauss:
Genetic improvement of data for maths functions. GECCO Companion 2021: 31-32 - [c104]William B. Langdon:
Fitness first and fatherless crossover. GECCO Companion 2021: 253-254 - [c103]William B. Langdon, Justyna Petke, David Clark:
Dissipative polynomials. GECCO Companion 2021: 1683-1691 - [c102]William B. Langdon:
Fitness First. GPTP 2021: 143-164 - [c101]Justyna Petke, David Clark, William B. Langdon:
Software robustness: a survey, a theory, and prospects. ESEC/SIGSOFT FSE 2021: 1475-1478 - [i13]William B. Langdon:
Evolving Open Complexity. CoRR abs/2112.00812 (2021) - 2020
- [j45]Nicholas Freitag McPhee, William B. Langdon:
GP+EM 20th anniversary editorial. Genet. Program. Evolvable Mach. 21(1-2): 3-9 (2020) - [j44]William B. Langdon:
Genetic programming and evolvable machines at 20. Genet. Program. Evolvable Mach. 21(1-2): 205-217 (2020) - [j43]William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten:
Genetic Improvement @ ICSE 2020. ACM SIGSOFT Softw. Eng. Notes 45(4): 24-30 (2020) - [c100]William B. Langdon:
Genetic Improvement of Genetic Programming. CEC 2020: 1-8 - [c99]Oliver Krauss, William B. Langdon:
Automatically Evolving Lookup Tables for Function Approximation. EuroGP 2020: 84-100 - [c98]William B. Langdon, Oliver Krauss:
Evolving sqrt into 1/x via software data maintenance. GECCO Companion 2020: 1928-1936 - [i12]William B. Langdon:
Fast Generation of Big Random Binary Trees. CoRR abs/2001.04505 (2020) - [i11]William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten:
Genetic Improvement @ ICSE 2020. CoRR abs/2007.15987 (2020) - [i10]William B. Langdon:
Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming. CoRR abs/2009.10460 (2020)
2010 – 2019
- 2019
- [j42]William B. Langdon, Westley Weimer, Christopher Steven Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric M. Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An:
The State and Future of Genetic Improvement. ACM SIGSOFT Softw. Eng. Notes 44(3): 25-29 (2019) - [c97]William B. Langdon, Ronny Lorenz:
Evolving AVX512 Parallel C Code Using GP. EuroGP 2019: 245-261 - [c96]William B. Langdon:
Parallel GPQUICK. GECCO (Companion) 2019: 63-64 - [c95]William B. Langdon, Justyna Petke:
Genetic improvement of data gives binary logarithm from sqrt. GECCO (Companion) 2019: 413-414 - [c94]William B. Langdon:
Genetic improvement of data gives double precision invsqrt. GECCO (Companion) 2019: 1709-1714 - [c93]William B. Langdon, Wolfgang Banzhaf:
Continuous Long-Term Evolution of Genetic Programming. ALIFE 2019: 388-395 - [e8]Justyna Petke, Shin Hwei Tan, William B. Langdon, Westley Weimer:
Proceedings of the 6th International Workshop on Genetic Improvement, GI@ICSE 2019, Montreal, Quebec, Canada, May 28, 2019. ACM 2019, ISBN 978-1-7281-2268-7 [contents] - [i9]William B. Langdon, Wolfgang Banzhaf:
Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions. CoRR abs/1902.09215 (2019) - [i8]William B. Langdon, Westley Weimer, Christopher Steven Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric M. Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An:
The State and Future of Genetic Improvement. CoRR abs/1907.03773 (2019) - 2018
- [j41]Justyna Petke, Saemundur O. Haraldsson, Mark Harman, William B. Langdon, David Robert White, John R. Woodward:
Genetic Improvement of Software: A Comprehensive Survey. IEEE Trans. Evol. Comput. 22(3): 415-432 (2018) - [j40]Justyna Petke, Mark Harman, William B. Langdon, Westley Weimer:
Specialising Software for Different Downstream Applications Using Genetic Improvement and Code Transplantation. IEEE Trans. Software Eng. 44(6): 574-594 (2018) - [c92]William B. Langdon, Justyna Petke, Ronny Lorenz:
Evolving Better RNAfold Structure Prediction. EuroGP 2018: 220-236 - [c91]William B. Langdon, Justyna Petke:
Evolving Better Software Parameters. SSBSE 2018: 363-369 - [e7]Justyna Petke, Kathryn T. Stolee, William B. Langdon, Westley Weimer:
Proceedings of the 4th International Genetic Improvement Workshop, GI@ICSE 2018, Gothenburg, Sweden, June 2, 2018. ACM 2018 [contents] - [i7]William B. Langdon:
The Distribution of Reversible Functions is Normal. CoRR abs/1808.06928 (2018) - [i6]William B. Langdon:
Human-Competitive Awards 2018. CoRR abs/1810.09416 (2018) - [i5]Justyna Petke, Claire Le Goues, Stephanie Forrest, William B. Langdon:
Genetic Improvement of Software (Dagstuhl Seminar 18052). Dagstuhl Reports 8(1): 158-182 (2018) - 2017
- [j39]William B. Langdon, Brian Yee Hong Lam:
Genetically improved BarraCUDA. BioData Min. 10(1): 28:1-28:11 (2017) - [j38]William B. Langdon, Brian Yee Hong Lam, Marc Modat, Justyna Petke, Mark Harman:
Genetic improvement of GPU software. Genet. Program. Evolvable Mach. 18(1): 5-44 (2017) - [c90]William B. Langdon, Nadarajen Veerapen, Gabriela Ochoa:
Visualising the Search Landscape of the Triangle Program. EuroGP 2017: 96-113 - [c89]William B. Langdon:
Long-term evolution of genetic programming populations. GECCO (Companion) 2017: 235-236 - [c88]William B. Langdon, Ronny Lorenz:
Improving SSE parallel code with grow and graft genetic programming. GECCO (Companion) 2017: 1537-1538 - [c87]William B. Langdon, Karina Zile:
Genetic improvement of computational biology software. GECCO (Companion) 2017: 1657-1660 - [c86]William B. Langdon, Shin Yoo, Mark Harman:
Inferring Automatic Test Oracles. SBST@ICSE 2017: 5-6 - [i4]William B. Langdon:
Long-Term Evolution of Genetic Programming Populations. CoRR abs/1703.08481 (2017) - 2016
- [j37]José Javier Dolado, Daniel Rodríguez, Mark Harman, William B. Langdon, Federica Sarro:
Evaluation of estimation models using the Minimum Interval of Equivalence. Appl. Soft Comput. 49: 956-967 (2016) - [j36]William B. Langdon, José Javier Dolado, Federica Sarro, Mark Harman:
Exact Mean Absolute Error of Baseline Predictor, MARP0. Inf. Softw. Technol. 73: 16-18 (2016) - [c85]William B. Langdon, Gabriela Ochoa:
Genetic improvement: A key challenge for evolutionary computation. CEC 2016: 3068-3075 - [c84]William B. Langdon, Albert Vilella, Brian Yee Hong Lam, Justyna Petke, Mark Harman:
Benchmarking Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets and nVidia GPUs. GECCO (Companion) 2016: 1131-1132 - [c83]William B. Langdon, Justyna Petke, Bobby R. Bruce:
Optimising Quantisation Noise in Energy Measurement. PPSN 2016: 249-259 - [c82]William B. Langdon:
Kin Selection with Twin Genetic Programming. PPSN 2016: 313-323 - [c81]William B. Langdon, David Robert White, Mark Harman, Yue Jia, Justyna Petke:
API-Constrained Genetic Improvement. SSBSE 2016: 224-230 - 2015
- [j35]William B. Langdon:
Performance of genetic programming optimised Bowtie2 on genome comparison and analytic testing (GCAT) benchmarks. BioData Min. 8: 1 (2015) - [j34]William B. Langdon, Mark Harman:
Optimizing Existing Software With Genetic Programming. IEEE Trans. Evol. Comput. 19(1): 118-135 (2015) - [c80]William B. Langdon, Mark Harman:
Grow and Graft a Better CUDA pknotsRG for RNA Pseudoknot Free Energy Calculation. GECCO (Companion) 2015: 805-810 - [c79]William B. Langdon, Brian Yee Hong Lam, Justyna Petke, Mark Harman:
Improving CUDA DNA Analysis Software with Genetic Programming. GECCO 2015: 1063-1070 - [c78]William B. Langdon:
Genetic Improvement of Software for Multiple Objectives. SSBSE 2015: 12-28 - [c77]Yue Jia, Mark Harman, William B. Langdon, Alexandru Marginean:
Grow and Serve: Growing Django Citation Services Using SBSE. SSBSE 2015: 269-275 - [r1]William B. Langdon:
Genetically Improved Software. Handbook of Genetic Programming Applications 2015: 181-220 - 2014
- [j33]William B. Langdon:
Mycoplasma contamination in the 1000 Genomes Project. BioData Min. 7: 3 (2014) - [c76]William B. Langdon, Mark Harman:
Genetically Improved CUDA C++ Software. EuroGP 2014: 87-99 - [c75]Justyna Petke, Mark Harman, William B. Langdon, Westley Weimer:
Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class. EuroGP 2014: 137-149 - [c74]William B. Langdon, Marc Modat, Justyna Petke, Mark Harman:
Improving 3D medical image registration CUDA software with genetic programming. GECCO 2014: 951-958 - [c73]Mark Harman, Yue Jia, William B. Langdon, Justyna Petke, Iman Hemati Moghadam, Shin Yoo, Fan Wu:
Genetic improvement for adaptive software engineering (keynote). SEAMS 2014: 1-4 - [c72]Mark Harman, Yue Jia, Jens Krinke, William B. Langdon, Justyna Petke, Yuanyuan Zhang:
Search based software engineering for software product line engineering: a survey and directions for future work. SPLC 2014: 5-18 - [c71]Mark Harman, Yue Jia, William B. Langdon:
Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System. SSBSE 2014: 247-252 - [c70]William B. Langdon:
Genetic Improvement of Programs. SYNASC 2014: 14-19 - 2013
- [c69]William B. Langdon:
Correlation of microarray probes give evidence for mycoplasma contamination in human studies. GECCO (Companion) 2013: 1447-1454 - [c68]William B. Langdon:
Which is faster: bowtie2GP bowtie > bowtie2 > BWA. GECCO (Companion) 2013: 1741-1742 - [c67]Justyna Petke, William B. Langdon, Mark Harman:
Applying Genetic Improvement to MiniSAT. SSBSE 2013: 257-262 - [c66]Mark Harman, William B. Langdon, Westley Weimer:
Genetic programming for Reverse Engineering. WCRE 2013: 1-10 - [p4]William B. Langdon:
Large-Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units. Massively Parallel Evolutionary Computation on GPGPUs 2013: 311-347 - [i3]William B. Langdon, Mark Harman:
Using Genetic Programming to Model Software. CoRR abs/1306.5667 (2013) - 2012
- [c65]William B. Langdon, M. J. Arno:
In Silico Infection of the Human Genome. EvoBIO 2012: 245-249 - [c64]Mark Harman, William B. Langdon, Yue Jia, David Robert White, Andrea Arcuri, John A. Clark:
The GISMOE challenge: constructing the pareto program surface using genetic programming to find better programs (keynote paper). ASE 2012: 1-14 - [p3]William B. Langdon:
Creating and Debugging Performance CUDA C. Parallel Architectures and Bioinspired Algorithms 2012: 7-50 - [e6]Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan Julián Merelo Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings. Lecture Notes in Computer Science 7248, Springer 2012, ISBN 978-3-642-29177-7 [contents] - 2011
- [j32]William B. Langdon:
Graphics processing units and genetic programming: an overview. Soft Comput. 15(8): 1657-1669 (2011) - [c63]William B. Langdon, Shin Yoo, Mark Harman:
Formal Concept Analysis on Graphics Hardware. CLA 2011: 413-416 - [c62]William B. Langdon:
Elementary bit string mutation landscapes. FOGA 2011: 25-42 - [c61]William B. Langdon:
Generalisation in genetic programming. GECCO (Companion) 2011: 205-206 - [c60]William B. Langdon:
Debugging CUDA. GECCO (Companion) 2011: 415-422 - [c59]William B. Langdon:
Performing with CUDA. GECCO (Companion) 2011: 423-430 - [c58]Mark Harman, Yue Jia, William B. Langdon:
Strong higher order mutation-based test data generation. SIGSOFT FSE 2011: 212-222 - [e5]Hans-Georg Beyer, William B. Langdon:
Foundations of Genetic Algorithms, 11th International Workshop, FOGA 2011, Schwarzenberg, Austria, January 5-8, 2011, Proceedings. ACM 2011, ISBN 978-1-4503-0633-1 [contents] - 2010
- [j31]Riccardo Poli, Leonardo Vanneschi, William B. Langdon, Nicholas Freitag McPhee:
Theoretical results in genetic programming: the next ten years? Genet. Program. Evolvable Mach. 11(3-4): 285-320 (2010) - [j30]William B. Langdon, Steven M. Gustafson:
Genetic Programming and Evolvable Machines: ten years of reviews. Genet. Program. Evolvable Mach. 11(3-4): 321-338 (2010) - [j29]Joanna Rowsell, Renata da Silva Camargo, William B. Langdon, Maria A. Stalteri, Andrew P. Harrison:
Uncovering the Expression Patterns of Chimeric Transcripts Using Surveys of Affymetrix GeneChips. J. Integr. Bioinform. 7(3) (2010) - [j28]William B. Langdon, Mark Harman, Yue Jia:
Efficient multi-objective higher order mutation testing with genetic programming. J. Syst. Softw. 83(12): 2416-2430 (2010) - [j27]William B. Langdon, Graham J. G. Upton, Renata da Silva Camargo, Andrew P. Harrison:
A Survey of Spatial Defects in Homo Sapiens Affymetrix GeneChips. IEEE ACM Trans. Comput. Biol. Bioinform. 7(4): 647-653 (2010) - [c57]William B. Langdon, Mark Harman:
Evolving a CUDA kernel from an nVidia template. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c56]William B. Langdon:
A Many Threaded CUDA Interpreter for Genetic Programming. EuroGP 2010: 146-158 - [c55]Mark Harman, Yue Jia, William B. Langdon:
A Manifesto for Higher Order Mutation Testing. ICST Workshops 2010: 80-89 - [p2]William B. Langdon:
Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units. Parallel and Distributed Computational Intelligence 2010: 113-141 - [i2]William B. Langdon:
2-bit Flip Mutation Elementary Fitness Landscapes. Theory of Evolutionary Algorithms 2010
2000 – 2009
- 2009
- [j26]William B. Langdon, Andrew P. Harrison:
Evolving DNA motifs to predict GeneChip probe performance. Algorithms Mol. Biol. 4 (2009) - [j25]William B. Langdon, Graham J. G. Upton, Andrew P. Harrison:
Probes containing runs of guanines provide insights into the biophysics and bioinformatics of Affymetrix GeneChips. Briefings Bioinform. 10(3): 259-277 (2009) - [j24]William B. Langdon:
Scaling of program functionality. Genet. Program. Evolvable Mach. 10(1): 5-36 (2009) - [c54]William B. Langdon, Joanna Rowsell, Andrew P. Harrison:
Creating regular expressions as mRNA motifs with GP to predict human exon splitting. GECCO 2009: 1789-1790 - [c53]William B. Langdon, Mark Harman, Yue Jia:
Multi objective higher order mutation testing with GP. GECCO 2009: 1945-1946 - [c52]William B. Langdon:
Evo_indent interactive evolution of GNU indent options. GECCO (Companion) 2009: 2081-2084 - [c51]William B. Langdon:
A fast high quality pseudo random number generator for nVidia CUDA. GECCO (Companion) 2009: 2511-2514 - [c50]Riccardo Poli, William B. Langdon:
Genetic programming theory I & II. GECCO (Companion) 2009: 3015-3056 - 2008
- [b2]Riccardo Poli, William B. Langdon, Nicholas Freitag McPhee:
A Field Guide to Genetic Programming. lulu.com 2008, ISBN 978-1-4092-0073-4 - [j23]Jose M. Arteaga-Salas, Harry Zuzan, William B. Langdon, Graham J. G. Upton, Andrew P. Harrison:
An overview of image-processing methods for Affymetrix GeneChips. Briefings Bioinform. 9(1): 25-33 (2008) - [j22]William B. Langdon, Riccardo Poli, Wolfgang Banzhaf:
An Eigen analysis of the GP community. Genet. Program. Evolvable Mach. 9(3): 171-182 (2008) - [j21]Olivia Sanchez-Graillet, Joanna Rowsell, William B. Langdon, Maria A. Stalteri, Jose M. Arteaga-Salas, Graham J. G. Upton, Andrew P. Harrison:
Widespread existence of uncorrelated probe intensities from within the same probeset on Affymetrix GeneChips. J. Integr. Bioinform. 5(2) (2008) - [j20]William B. Langdon, Riccardo Poli:
Mapping non-conventional extensions of genetic programming. Nat. Comput. 7(1): 21-43 (2008) - [j19]William B. Langdon, Wolfgang Banzhaf:
Repeated patterns in genetic programming. Nat. Comput. 7(4): 589-613 (2008) - [j18]William B. Langdon, Andrew P. Harrison:
GP on SPMD parallel graphics hardware for mega Bioinformatics data mining. Soft Comput. 12(12): 1169-1183 (2008) - [c49]William B. Langdon:
A fast high quality pseudo random number generator for graphics processing units. IEEE Congress on Evolutionary Computation 2008: 459-465 - [c48]William B. Langdon:
Evolving GeneChip correlation predictors on parallel graphics hardware. IEEE Congress on Evolutionary Computation 2008: 4151-4156 - [c47]William B. Langdon, Wolfgang Banzhaf:
A SIMD Interpreter for Genetic Programming on GPU Graphics Cards. EuroGP 2008: 73-85 - [c46]William B. Langdon, Andrew P. Harrison:
Evolving Regular Expressions for GeneChip Probe Performance Prediction. PPSN 2008: 1061-1070 - [p1]William B. Langdon, Riccardo Poli, Nicholas Freitag McPhee, John R. Koza:
Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques and Applications. Computational Intelligence: A Compendium 2008: 927-1028 - 2007
- [j17]Marco Tomassini, Leslie Luthi, Mario Giacobini, William B. Langdon:
The structure of the genetic programming collaboration network. Genet. Program. Evolvable Mach. 8(1): 97-103 (2007) - [j16]William B. Langdon, Riccardo Poli:
Evolving Problems to Learn About Particle Swarm Optimizers and Other Search Algorithms. IEEE Trans. Evol. Comput. 11(5): 561-578 (2007) - [c45]Riccardo Poli, William B. Langdon, Stephen Dignum:
On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming. EuroGP 2007: 193-204 - [c44]Riccardo Poli, William B. Langdon, Maurice Clerc, Christopher R. Stephens:
Continuous Optimisation Theory Made Easy? Finite-Element Models of Evolutionary Strategies, Genetic Algorithms and Particle Swarm Optimizers. FOGA 2007: 165-193 - [c43]Riccardo Poli, William B. Langdon:
Markov chain models of bare-bones particle swarm optimizers. GECCO 2007: 142-149 - [c42]Leslie Luthi, Marco Tomassini, Mario Giacobini, William B. Langdon:
The genetic programming collaboration network and its communities. GECCO 2007: 1643-1650 - [c41]Riccardo Poli, William B. Langdon:
Genetic programming theory. GECCO (Companion) 2007: 3563-3584 - 2006
- [j15]Riccardo Poli, William B. Langdon:
Backward-chaining evolutionary algorithms. Artif. Intell. 170(11): 953-982 (2006) - [c40]Riccardo Poli, William B. Langdon, Paul Marrow, James Kennedy, Maurice Clerc, Daniel Bratton, Nicholas Holden:
Communication, Leadership, Publicity and Group Formation in Particle Swarms. ANTS Workshop 2006: 132-143 - [c39]Riccardo Poli, Alden H. Wright, Nicholas Freitag McPhee, William B. Langdon:
Emergent Behaviour, Population-based Search and Low-pass Filtering. IEEE Congress on Evolutionary Computation 2006: 88-95 - [c38]William B. Langdon, Riccardo Poli:
Finding Social Landscapes for PSOs via Kernels. IEEE Congress on Evolutionary Computation 2006: 1654-1661 - [c37]William B. Langdon, Riccardo Poli:
The Halting Probability in Von Neumann Architectures. EuroGP 2006: 225-237 - [c36]William B. Langdon:
Mapping Non-conventional Extensions of Genetic Programming. UC 2006: 166-180 - [i1]William B. Langdon, Riccardo Poli:
On Turing complete T7 and MISC F--4 program fitnes landscapes. Theory of Evolutionary Algorithms 2006 - 2005
- [j14]William B. Langdon, Wolfgang Banzhaf:
Repeated Sequences in Linear Genetic Programming Genomes. Complex Syst. 15(4) (2005) - [j13]William B. Langdon, Steven M. Gustafson:
Genetic Programming and Evolvable Machines: Five Years of Reviews. Genet. Program. Evolvable Mach. 6(2): 221-228 (2005) - [c35]William B. Langdon:
Evolving Benchmarks. BNAIC 2005: 365-366 - [c34]William B. Langdon, Riccardo Poli:
Evolving problems to learn about particle swarm and other optimisers. Congress on Evolutionary Computation 2005: 81-88 - [c33]William B. Langdon, Riccardo Poli:
Evolutionary Solo Pong players. Congress on Evolutionary Computation 2005: 2621-2628 - [c32]William B. Langdon, Wolfgang Banzhaf:
Repeated Patterns in Tree Genetic Programming. EuroGP 2005: 190-202 - [c31]Riccardo Poli, William B. Langdon, Owen Holland:
Extending Particle Swarm Optimisation via Genetic Programming. EuroGP 2005: 291-300 - [c30]Riccardo Poli, Cecilia Di Chio, William B. Langdon:
Exploring extended particle swarms: a genetic programming approach. GECCO 2005: 169-176 - [c29]Riccardo Poli, William B. Langdon:
Backward-chaining genetic programming. GECCO 2005: 1777-1778 - [c28]William B. Langdon, Roswitha Poll, Owen Holland, Thiemo Krink:
Understanding particle swarm optimisation by evolving problem landscapes. SIS 2005: 30-37 - 2004
- [j12]David P. A. Corney, Bernard F. Buxton, William B. Langdon, David T. Jones:
BioRAT: extracting biological information from full-length papers. Bioinform. 20(17): 3206-3213 (2004) - [j11]William B. Langdon, Bernard F. Buxton:
Genetic Programming for Mining DNA Chip Data from Cancer Patients. Genet. Program. Evolvable Mach. 5(3): 251-257 (2004) - [j10]William B. Langdon:
Genetic Algorithms - Principles and Perspectives, A Guide to GA Theory by Colin R. Reeves and Jonathan E. Rowe, Kluwer Academic Publishers, 332 pp., $120.00, ISBN 1-4020-7240-6. Knowl. Eng. Rev. 19(2): 185-186 (2004) - [c27]William B. Langdon:
Global Distributed Evolution of L-Systems Fractals. EuroGP 2004: 349-358 - [c26]Alden H. Wright, Riccardo Poli, Christopher R. Stephens, William B. Langdon, Sandeep Pulavarty:
An Estimation of Distribution Algorithm Based on Maximum Entropy. GECCO (2) 2004: 343-354 - 2003
- [c25]William B. Langdon, S. J. Barrett, Bernard F. Buxton:
Predicting biochemical interactions - human P450 2D6 enzyme inhibition. IEEE Congress on Evolutionary Computation 2003: 807-814 - [c24]William B. Langdon, S. J. Barrett, Bernard F. Buxton:
Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery. EvoWorkshops 2003: 87-98 - [c23]William B. Langdon:
Convergence of Program Fitness Landscapes. GECCO 2003: 1702-1714 - 2002
- [b1]William B. Langdon, Riccardo Poli:
Foundations of genetic programming. Springer 2002, ISBN 978-3-540-42451-2, pp. I-XV, 1-260 - [j9]Wolfgang Banzhaf, William B. Langdon:
Some Considerations on the Reason for Bloat. Genet. Program. Evolvable Mach. 3(1): 81-91 (2002) - [c22]William B. Langdon, S. J. Barrett, Bernard F. Buxton:
Combining Decision Trees and Neural Networks for Drug Discovery. EuroGP 2002: 60-70 - [c21]William B. Langdon:
How Many Good Programs are There? How Long are They? FOGA 2002: 183-202 - [c20]William B. Langdon:
Random Search is Parsimonious. GECCO Late Breaking Papers 2002: 308-315 - [c19]William B. Langdon:
Convergence Rates For The Distribution Of Program Outputs. GECCO 2002: 812-819 - [c18]William B. Langdon:
A Hybrid Genetic Programming Neural Network Classifier for Use in Drug Discovery. HIS 2002: 6 - [e4]William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant G. Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska:
GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002. Morgan Kaufmann 2002, ISBN 1-55860-878-8 [contents] - 2001
- [j8]William B. Langdon:
Long Random Linear Programs Do Not Generalize. Genet. Program. Evolvable Mach. 2(2): 95-100 (2001) - [c17]William B. Langdon, Bernard F. Buxton:
Evolving Receiver Operating Characteristics for Data Fusion. EuroGP 2001: 87-96 - [c16]William B. Langdon, Peter Nordin:
Evolving Hand-Eye Coordination for a Humanoid Robot with Machine Code Genetic Programming. EuroGP 2001: 313-324 - [c15]William B. Langdon, Bernard F. Buxton:
Genetic Programming for Improved Receiver Operating Characteristics. Multiple Classifier Systems 2001: 68-77 - [e3]Julian F. Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea Tettamanzi, William B. Langdon:
Genetic Programming, 4th European Conference, EuroGP 2001, Lake Como, Italy, April 18-20, 2001, Proceedings. Lecture Notes in Computer Science 2038, Springer 2001, ISBN 3-540-41899-7 [contents] - 2000
- [j7]William B. Langdon:
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming. Genet. Program. Evolvable Mach. 1(1/2): 95-119 (2000) - [j6]William B. Langdon:
Genetic Programming and Evolvable Machines: Books and other Resources. Genet. Program. Evolvable Mach. 1(1/2): 165-169 (2000) - [j5]William B. Langdon:
Conference Report. Robotica 18(1): 87 (2000) - [c14]Martijn C. J. Bot, William B. Langdon:
Application of Genetic Programming to Induction of Linear Classification Trees. EuroGP 2000: 247-258 - [c13]William B. Langdon, Peter Nordin:
Seeding Genetic Programming Populations. EuroGP 2000: 304-315 - [c12]William B. Langdon:
Quadratic Bloat in Genetic Programming. GECCO 2000: 451-458 - [c11]William B. Langdon, Wolfgang Banzhaf:
Genetic Programming Bloat without Semantics. PPSN 2000: 201-210 - [e2]Riccardo Poli, Wolfgang Banzhaf, William B. Langdon, Julian F. Miller, Peter Nordin, Terence C. Fogarty:
Genetic Programming, European Conference, Edinburgh, Scotland, UK, April 15-16, 2000, Proceedings. Lecture Notes in Computer Science 1802, Springer 2000, ISBN 3-540-67339-3 [contents]
1990 – 1999
- 1999
- [j4]William B. Langdon:
Scaling of Program Fitness Spaces. Evol. Comput. 7(4): 399-428 (1999) - [c10]William B. Langdon, Riccardo Poli:
Boolean Functions Fitness Spaces. EuroGP 1999: 1-14 - [c9]Jonathan Page, Riccardo Poli, William B. Langdon:
Smooth Uniform Crossover with Smooth Point Mutation in Genetic Programming: A Preliminary Study. EuroGP 1999: 39-48 - [c8]Fuey Sian Chong, William B. Langdon:
Java based Distributed Genetic Programming on the Internet. GECCO 1999: 1229 - [e1]Riccardo Poli, Peter Nordin, William B. Langdon, Terence C. Fogarty:
Genetic Programming, Second European Workshop, Göteborg, Sweden, May 26-27, 1999, Proceedings. Lecture Notes in Computer Science 1598, Springer 1999, ISBN 3-540-65899-8 [contents] - 1998
- [j3]Riccardo Poli, William B. Langdon:
Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation. Evol. Comput. 6(3): 231-252 (1998) - [j2]William B. Langdon:
Conference on Genetic Programming (GP-97). Robotica 16(1): 117-118 (1998) - [j1]William B. Langdon:
Genetic Algorithms in Engineering Systems by A.N.S. Zalzala and P.J. Fleming. IEE Control Engineering Series 55, 1997, ISBN 0 85296 902 3, 279 pp. (£45; Hbk). Robotica 16(6): 701 (1998) - [c7]Riccardo Poli, William B. Langdon:
A Review of Theoretical and Experimental Results on Schemata in Genetic Programming. EuroGP 1998: 1-15 - [c6]William B. Langdon, Riccardo Poli:
Fitness Causes Bloat: Mutation. EuroGP 1998: 37-48 - [c5]William B. Langdon, Riccardo Poli:
Genetic Programming Bloat with Dynamic Fitness. EuroGP 1998: 97-112 - 1997
- [c4]William B. Langdon:
Scheduling Planned Maintenance of the South Wales Region of the National Grid. Evolutionary Computing, AISB Workshop 1997: 181-198 - [c3]Riccardo Poli, William B. Langdon:
An Experimental Analysis of Schema Creation, Propagation and Disruption in Genetic Programming. ICGA 1997: 18-25 - 1995
- [c2]William B. Langdon:
Scheduling Planned Maintenance of the National Grid. Evolutionary Computing, AISB Workshop 1995: 132-153 - [c1]William B. Langdon:
Evolving Data Structures with Genetic Programming. ICGA 1995: 295-302
Coauthor Index
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