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ORCIDMarkus Wagner 0007
Person information
- affiliation: Monash University, Department of Data Science and Artificial Intelligence, Melbourne, VIC, Australia
- affiliation (former): University of Adelaide, Australia
Other persons with the same name
- Markus Wagner 0001 — Technical University Munich, Germany
- Markus Wagner 0002 — University of Kaiserslautern, Germany
- Markus Wagner 0003 — University of Mainz, Germany
- Markus Wagner 0004 — Saarland University, Saarbrücken, Germany
- Markus Wagner 0006 — University of Braunschweig, Germany
- Markus Wagner 0008
![[0000-0002-6619-6494]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6619-6494")
— St. Pölten Univerisity of Applied Sciences, Austria - Markus Wagner 0009 — University of Magdeburg, Department of Ophthalmology, Germany
- Markus Wagner 0010 — TÜV Informationstechnik GmbH - TÜViT (TÜV NORD GROUP), Essen, Germany
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2020 – today
- 2025
[j40]James Caddy, Christoph Treude, Markus Wagner, Earl T. Barr:
The role of surprisal in issue trackers. Empir. Softw. Eng. 30(1): 30 (2025)- [j39]Hussain Ahmad, Christoph Treude, Markus Wagner, Claudia Szabo:
Towards resource-efficient reactive and proactive auto-scaling for microservice architectures. J. Syst. Softw. 225: 112390 (2025) - [c113]Günter Rudolph, Markus Wagner:
Cumulative Step Size Adaptation for Adaptive SEMO in Integer Space. EMO (1) 2025: 118-131 - [e5]Martin S. Krejca, Markus Wagner:
Evolutionary Computation in Combinatorial Optimization - 25th European Conference, EvoCOP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings. Lecture Notes in Computer Science 15610, Springer 2025, ISBN 978-3-031-86848-1 [contents] - 2024
- [j38]Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin:
Assessing domain gap for continual domain adaptation in object detection. Comput. Vis. Image Underst. 238: 103885 (2024) - [j37]Wen Siang Tan, Markus Wagner, Christoph Treude:
Detecting outdated code element references in software repository documentation. Empir. Softw. Eng. 29(1): 5 (2024) - [j36]Jonathan E. Fieldsend, Markus Wagner:
Introduction to the "Best of GECCO 2022" Special Issue: Part II. ACM Trans. Evol. Learn. Optim. 4(2): 6 (2024) - [j35]Bach Long Nguyen, Duong Duc Nguyen, Hung X. Nguyen, Duy T. Ngo, Markus Wagner:
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1527-1539 (2024) - [j34]Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Surabhi Gupta, Estelle Parra, Ian D. Reid, Markus Wagner:
Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. IEEE Trans. Intell. Transp. Syst. 25(9): 11635-11647 (2024) - [c112]Günter Rudolph, Markus Wagner:
Towards Adaptation in Multiobjective Evolutionary Algorithms for Integer Problems. CEC 2024: 1-8 - [c111]Scott Blyth, Christoph Treude, Markus Wagner:
Creative and Correct: Requesting Diverse Code Solutions from AI Foundation Models. FORGE 2024: 119-123 - [c110]Alexander Edward Ian Brownlee, Saemundur O. Haraldsson, John Robert Woodward, Markus Wagner:
Genetic Improvement: Taking real-world source code and improving it using computational search methods. GECCO Companion 2024: 1197-1230 - [c109]Francisco Zanartu, Christoph Treude, Markus Wagner:
Socialz: Multi-Feature Social Fuzz Testing. GECCO 2024 - [c108]Hussain Ahmad, Christoph Treude, Markus Wagner, Claudia Szabo:
Smart HPA: A Resource-Efficient Horizontal Pod Auto-Scaler for Microservice Architectures. ICSA 2024: 46-57 - [c107]Tianyu Liang, Zhize Wu, Matthias Thürer, Markus Wagner, Thomas Weise:
Generating Small Instances with Interesting Features for the Traveling Salesperson Problem. IJCCI 2024: 173-180 - [c106]Oscar Manglaras, Alex Farkas, Peter Fule, Christoph Treude, Markus Wagner:
MicroKarta: Visualising Microservice Architectures. SIGSOFT FSE Companion 2024: 607-611 - [e4]Thomas Stützle, Markus Wagner:
Evolutionary Computation in Combinatorial Optimization - 24th European Conference, EvoCOP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings. Lecture Notes in Computer Science 14632, Springer 2024, ISBN 978-3-031-57711-6 [contents] - [d5]Günter Rudolph, Markus Wagner:
Towards Adaptation in Multiobjective Evolutionary Algorithms for Integer Problems (Dataset). Zenodo, 2024
- [i84]Hussain Ahmad, Christoph Treude, Markus Wagner, Claudia Szabo:
Smart HPA: A Resource-Efficient Horizontal Pod Auto-scaler for Microservice Architectures. CoRR abs/2403.07909 (2024) - [i83]Scott Blyth, Markus Wagner, Christoph Treude:
Creative and Correct: Requesting Diverse Code Solutions from AI Foundation Models. CoRR abs/2403.13259 (2024) - [i82]Francisco Zanartu, John Cook, Markus Wagner, Julian Garcia:
Detecting Fallacies in Climate Misinformation: A Technocognitive Approach to Identifying Misleading Argumentation. CoRR abs/2405.08254 (2024) - [i81]Anh-Dzung Doan, Bach Long Nguyen, Terry Lim, Madhuka Jayawardhana, Surabhi Gupta, Christophe Guettier, Ian Reid, Markus Wagner, Tat-Jun Chin:
Weakly Supervised Test-Time Domain Adaptation for Object Detection. CoRR abs/2407.05607 (2024) - [i80]Anh-Dzung Doan, Vu Minh Hieu Phan, Surabhi Gupta, Markus Wagner, Tat-Jun Chin, Ian Reid:
TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation. CoRR abs/2408.14227 (2024) - 2023
- [j33]Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White:
Program transformation landscapes for automated program modification using Gin. Empir. Softw. Eng. 28(4): 104 (2023) - [j32]Joel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, David Wu, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner, Yuval Yarom:
CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives. Proc. ACM Program. Lang. 7(PLDI): 1268-1292 (2023) - [j31]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) - [j30]Mohamed El Yafrani, Marcella Scoczynski, Markus Wagner, Peter Nielsen:
A regression analysis of the impact of routing and packing dependencies on the expected runtime. Soft Comput. 27(17): 12099-12115 (2023) - [j29]Xiang He, Zhiying Tu, Markus Wagner, Xiaofei Xu, Zhongjie Wang:
Online Deployment Algorithms for Microservice Systems With Complex Dependencies. IEEE Trans. Cloud Comput. 11(2): 1746-1763 (2023) - [j28]Jonathan E. Fieldsend, Markus Wagner:
Editorial to the "Best of GECCO 2022" Special Issue: Part I. ACM Trans. Evol. Learn. Optim. 3(2): 4:1-4:2 (2023) - [j27]Brittany Reid, Marcelo d'Amorim, Markus Wagner, Christoph Treude:
NCQ: Code Reuse Support for Node.js Developers. IEEE Trans. Software Eng. 49(5): 3205-3225 (2023) - [c105]Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing:
ELEA - Build your own Evolutionary Algorithm in your Browser. GECCO Companion 2023: 519-522 - [c104]Joel Kuepper, David Wu, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner, Yuval Yarom:
CryptOpt: Automatic Optimization of Straightline Code. ICSE Companion 2023: 141-145 - [c103]Wen Siang Tan, Markus Wagner, Christoph Treude:
Wait, wasn't that code here before? Detecting Outdated Software Documentation. ICSME 2023: 553-557 - [c102]Chenchu Ma, Harrison Lees, Markus Wagner, Withawat Withayachumnankul:
Design of Terahertz All-Dielectric Antenna via Optimisation. ISCIT 2023: 389-390 - [c101]Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner:
Applying information theory to software evolution. NLBSE@ICSE 2023: 48-55 - [c100]Brittany Reid, Christoph Treude, Markus Wagner:
Using the TypeScript compiler to fix erroneous Node.js snippets. SCAM 2023: 220-230 - [c99]Oscar Manglaras, Alex Farkas, Peter Fule, Christoph Treude, Markus Wagner:
Problems in Microservice Development: Supporting Visualisation. VISSOFT 2023: 62-72 - [d4]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
Large-scale Wave Energy Farm. UCI Machine Learning Repository, 2023 - [i79]Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing:
ELEA - Build your own Evolutionary Algorithm in your Browser. CoRR abs/2302.06277 (2023) - [i78]Francisco Zanartu, Christoph Treude, Markus Wagner:
Socialz: Multi-Feature Social Fuzz Testing. CoRR abs/2302.08664 (2023) - [i77]Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian D. Reid, Markus Wagner, Tat-Jun Chin:
Assessing Domain Gap for Continual Domain Adaptation in Object Detection. CoRR abs/2302.10396 (2023) - [i76]Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner:
Applying information theory to software evolution. CoRR abs/2303.13729 (2023) - [i75]Joel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, David Wu, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner, Yuval Yarom:
CryptOpt: Automatic Optimization of Straightline Code. CoRR abs/2305.19586 (2023) - [i74]Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Estelle Parra, Ian D. Reid, Markus Wagner:
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. CoRR abs/2307.02790 (2023) - [i73]Wen Siang Tan, Markus Wagner, Christoph Treude:
Wait, wasn't that code here before? Detecting Outdated Software Documentation. CoRR abs/2307.04291 (2023) - [i72]Brittany Reid, Christoph Treude, Markus Wagner:
Using the TypeScript compiler to fix erroneous Node.js snippets. CoRR abs/2308.12079 (2023) - [i71]Yunqi Wang, Hao Wang, Markus Wagner, Ariel Liebman:
Community Battery Energy Storage Systems for Enhancing Distribution System Operation: A Multi-objective Optimization Approach. CoRR abs/2311.16110 (2023) - 2022
- [j26]Jonatas B. C. Chagas, Markus Wagner:
A weighted-sum method for solving the bi-objective traveling thief problem. Comput. Oper. Res. 138: 105560 (2022) - [j25]Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White:
Metaheuristics "In the Large". Eur. J. Oper. Res. 297(2): 393-406 (2022) - [j24]Terence Wong, Markus Wagner, Christoph Treude:
Self-adaptive systems: A systematic literature review across categories and domains. Inf. Softw. Technol. 148: 106934 (2022) - [j23]Jonatas B. C. Chagas, Markus Wagner:
Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach. Optim. Lett. 16(8): 2313-2331 (2022) - [c98]Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li:
Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. EvoCOP 2022: 111-126 - [c97]Aldeida Aleti, Mark Wallace, Markus Wagner:
Neighbours similar fitness and the effectiveness of restarting local search. GECCO Companion 2022: 172-175 - [c96]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner:
On the fitness landscapes of interdependency models in the travelling thief problem. GECCO Companion 2022: 188-191 - [c95]Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner:
Fairness in generative modeling: do it unsupervised! GECCO Companion 2022: 320-323 - [c94]Sherlock A. Licorish, Markus Wagner:
Combining GIN and PMD for code improvements. GECCO Companion 2022: 790-793 - [c93]Chitchanok Chuengsatiansup, Markus Wagner, Yuval Yarom:
Opportunities for genetic improvement of cryptographic code. GECCO Companion 2022: 1928-1929 - [c92]Sherlock A. Licorish, Markus Wagner:
Dissecting copy/delete/replace/swap mutations: insights from a GIN case study. GECCO Companion 2022: 1940-1945 - [c91]Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Markus Wagner, Jon A. R. Liisberg:
Optimal offering strategy for an aggregator across multiple products of European day-ahead market. ISGT-Europe 2022: 1-6 - [c90]Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann:
Run-of-mine stockyard recovery scheduling and optimisation for multiple reclaimers. SAC 2022: 1074-1083 - [e3]Jonathan E. Fieldsend, Markus Wagner:
GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022. ACM 2022, ISBN 978-1-4503-9237-2 [contents] - [e2]Jonathan E. Fieldsend, Markus Wagner:
GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9 - 13, 2022. ACM 2022, ISBN 978-1-4503-9268-6 [contents] - [i70]Brittany Reid, Markus Wagner, Marcelo d'Amorim, Christoph Treude:
Software Engineering User Study Recruitment on Prolific: An Experience Report. CoRR abs/2201.05348 (2022) - [i69]Sherlock A. Licorish, Markus Wagner:
On the Utility of Marrying GIN and PMD for Improving Stack Overflow Code Snippets. CoRR abs/2202.01490 (2022) - [i68]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam Regattieri Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner:
On the Fitness Landscapes of Interdependency Models in the Travelling Thief Problem. CoRR abs/2203.04363 (2022) - [i67]James Caddy, Markus Wagner, Christoph Treude, Earl T. Barr, Miltiadis Allamanis:
Is Surprisal in Issue Trackers Actionable? CoRR abs/2204.07363 (2022) - [i66]Francisco Zanartu, Christoph Treude, Bruno Cartaxo, Hudson Silva Borges, Pedro Moura, Markus Wagner, Gustavo Pinto:
Automatically Categorising GitHub Repositories by Application Domain. CoRR abs/2208.00269 (2022) - [i65]Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz, Laurent Najman, Markus Wagner:
Fairness in generative modeling. CoRR abs/2210.03517 (2022) - [i64]Joel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, David Wu, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner, Yuval Yarom:
CryptOpt: Verified Compilation with Random Program Search for Cryptographic Primitives. CoRR abs/2211.10665 (2022) - [i63]Wen Siang Tan, Markus Wagner, Christoph Treude:
Detecting Outdated Code Element References in Software Repository Documentation. CoRR abs/2212.01479 (2022) - 2021
- [j22]Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner:
Toward more efficient heuristic construction of Boolean functions. Appl. Soft Comput. 107: 107327 (2021) - [j21]Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb:
A non-dominated sorting based customized random-key genetic algorithm for the bi-objective traveling thief problem. J. Heuristics 27(3): 267-301 (2021) - [j20]Francesco Quinzan, Andreas Göbel, Markus Wagner, Tobias Friedrich:
Evolutionary algorithms and submodular functions: benefits of heavy-tailed mutations. Nat. Comput. 20(3): 561-575 (2021) - [j19]Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Diego Oliva, Markus Wagner, Inkyung Sung, Mohamed El Yafrani:
Saving computational budget in Bayesian network-based evolutionary algorithms. Nat. Comput. 20(4): 775-790 (2021) - [j18]Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner:
GTOPX space mission benchmarks. SoftwareX 14: 100666 (2021) - [c89]Madura A. Shelton, Lukasz Chmielewski, Niels Samwel, Markus Wagner, Lejla Batina, Yuval Yarom:
Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code. CCS 2021: 685-699 - [c88]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen:
MATE: A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic Regression. EvoCOP 2021: 51-67 - [c87]Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li:
Novelty particle swarm optimisation for truss optimisation problems. GECCO Companion 2021: 67-68 - [c86]Aldeida Aleti, Mark Wallace, Markus Wagner:
On the effectiveness of restarting local search. GECCO Companion 2021: 333-334 - [c85]Sæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Markus Wagner, Bradley Alexander:
Genetic improvement: taking real-world source code and improving it using genetic programming. GECCO Companion 2021: 786-817 - [c84]Jakob Bossek, Markus Wagner:
Generating instances with performance differences for more than just two algorithms. GECCO Companion 2021: 1423-1432 - [c83]Madura A. Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni, Markus Wagner, Yuval Yarom:
Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers. NDSS 2021 - [c82]Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann:
Modelling and optimization of run-of-mine stockpile recovery. SAC 2021: 450-458 - [i62]Terence Wong, Markus Wagner, Christoph Treude:
Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains. CoRR abs/2101.00125 (2021) - [i61]Brittany Reid, Keila Barbosa, Marcelo d'Amorim, Markus Wagner, Christoph Treude:
NCQ: code reuse support for Node.js developers. CoRR abs/2101.00756 (2021) - [i60]Jakob Bossek, Markus Wagner:
Generating Instances with Performance Differences for More Than Just Two Algorithms. CoRR abs/2104.14275 (2021) - [i59]Bodin Chinthanet, Brittany Reid, Christoph Treude, Markus Wagner, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
What makes a good Node.js package? Investigating Users, Contributors, and Runnability. CoRR abs/2106.12239 (2021) - [i58]Xiang He, Zhiying Tu, Markus Wagner, Xiaofei Xu, Zhongjie Wang:
Online Deployment Algorithms for Microservice Systems with Complex Dependencies. CoRR abs/2107.09308 (2021) - [i57]Madura A. Shelton, Lukasz Chmielewski, Niels Samwel, Markus Wagner, Lejla Batina, Yuval Yarom:
Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code. CoRR abs/2109.11741 (2021) - [i56]Jonatas B. C. Chagas, Markus Wagner:
Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach. CoRR abs/2109.13103 (2021) - [i55]Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li:
Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. CoRR abs/2112.07875 (2021) - [i54]Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann:
Run-of-Mine Stockyard Recovery Scheduling and Optimisation for Multiple Reclaimers. CoRR abs/2112.12294 (2021) - [i53]Madura A. Shelton, Lukasz Chmielewski, Niels Samwel, Markus Wagner, Lejla Batina, Yuval Yarom:
Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code. IACR Cryptol. ePrint Arch. 2021: 1181 (2021) - 2020
- [j17]Thomas Weise, Markus Wagner, Bin Li, Xingyi Zhang, Jörg Lässig:
Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing Journal. Appl. Soft Comput. 93: 106502 (2020) - [j16]Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers. Empir. Softw. Eng. 25(3): 2099-2136 (2020) - [j15]Mehdi Neshat, Bradley Alexander, Markus Wagner:
A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters. Inf. Sci. 534: 218-244 (2020) - [j14]Jonatas B. C. Chagas, Markus Wagner:
Ants can orienteer a thief in their robbery. Oper. Res. Lett. 48(6): 708-714 (2020) - [j13]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) - [j12]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
New insights into position optimisation of wave energy converters using hybrid local search. Swarm Evol. Comput. 59: 100744 (2020) - [c81]Sæmundur Óskar Haraldsson, John R. Woodward, Markus Wagner:
Genetic improvement: taking real-world source code and improving it using genetic programming. GECCO Companion 2020: 801-831 - [c80]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
Optimisation of large wave farms using a multi-strategy evolutionary framework. GECCO 2020: 1150-1158 - [c79]Mahmoud A. Bokhari, Brad Alexander, Markus Wagner:
Towards rigorous validation of energy optimisation experiments. GECCO 2020: 1232-1240 - [c78]Sebastian Baltes, Markus Wagner:
An annotated dataset of stack overflow post edits. GECCO Companion 2020: 1923-1925 - [c77]Mahmoud A. Bokhari, Markus Wagner, Brad Alexander:
Genetic improvement of software efficiency: the curse of fitness estimation. GECCO Companion 2020: 1926-1927 - [c76]Brittany Reid, Christoph Treude, Markus Wagner:
Optimising the fit of stack overflow code snippets into existing code. GECCO Companion 2020: 1945-1953 - [c75]Ragav Sachdeva, Frank Neumann, Markus Wagner:
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms. ICONIP (5) 2020: 220-228 - [c74]Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner:
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. PPSN (2) 2020: 111-124 - [c73]Mahfouth Alghamdi, Christoph Treude, Markus Wagner:
Human-Like Summaries from Heterogeneous and Time-Windowed Software Development Artefacts. PPSN (2) 2020: 329-342 - [d3]Sebastian Baltes, Markus Wagner:
An Annotated Dataset of Stack Overflow Post Edits. Version 2020-01-24. Zenodo, 2020 [all versions] - [d2]Sebastian Baltes, Markus Wagner:
An Annotated Dataset of Stack Overflow Post Edits. Version 2020-01-24. Zenodo, 2020 [all versions] - [i52]Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner:
Design optimisation of a multi-mode wave energy converter. CoRR abs/2001.08966 (2020) - [i51]Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb:
A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem. CoRR abs/2002.04303 (2020) - [i50]Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner:
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. CoRR abs/2002.09106 (2020) - [i49]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework. CoRR abs/2003.09594 (2020) - [i48]Mahmoud A. Bokhari, Brad Alexander, Markus Wagner:
Towards Rigorous Validation of Energy Optimisation Experiments. CoRR abs/2004.04500 (2020) - [i47]Jonatas B. C. Chagas, Markus Wagner:
Ants can orienteer a thief in their robbery. CoRR abs/2004.07017 (2020) - [i46]Brittany Reid, Christoph Treude, Markus Wagner:
Optimising the Fit of Stack Overflow Code Snippets into Existing Code. CoRR abs/2004.07663 (2020) - [i45]Sebastian Baltes, Markus Wagner:
An Annotated Dataset of Stack Overflow Post Edits. CoRR abs/2004.08193 (2020) - [i44]Ragav Sachdeva, Frank Neumann, Markus Wagner:
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms. CoRR abs/2004.12045 (2020) - [i43]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen:
MATE: A Model-based Algorithm Tuning Engine. CoRR abs/2004.12750 (2020) - [i42]Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner:
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. CoRR abs/2004.12762 (2020) - [i41]Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner:
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output. CoRR abs/2004.12794 (2020) - [i40]Mahfouth Alghamdi, Christoph Treude, Markus Wagner:
Human-Like Summaries from Heterogeneous and Time-Windowed Software Development Artefacts. CoRR abs/2004.14151 (2020) - [i39]Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise:
Benchmarking in Optimization: Best Practice and Open Issues. CoRR abs/2007.03488 (2020) - [i38]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) - [i37]Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner:
GTOPX Space Mission Benchmarks. CoRR abs/2010.07517 (2020) - [i36]Jonatas B. C. Chagas, Markus Wagner:
A weighted-sum method for solving the bi-objective traveling thief problem. CoRR abs/2011.05081 (2020) - [i35]Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo Guervós, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David Robert White:
Towards Metaheuristics "In the Large". CoRR abs/2011.09821 (2020)
2010 – 2019
- 2019
- [c72]Thomas Weise, Zijun Wu, Markus Wagner:
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search. AAAI 2019: 2395-2402 - [c71]Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Inkyung Sung, Markus Wagner, Diego Oliva:
On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm. BRACIS 2019: 311-316 - [c70]Mahmoud A. Bokhari, Lujun Weng, Markus Wagner, Bradley Alexander:
Mind the gap - a distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificance. CEC 2019: 1330-1337 - [c69]Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, Heike Trautmann:
Evolving diverse TSP instances by means of novel and creative mutation operators. FOGA 2019: 58-71 - [c68]Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner:
A characterisation of S-box fitness landscapes in cryptography. GECCO 2019: 285-293 - [c67]Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann:
Evolutionary diversity optimization using multi-objective indicators. GECCO 2019: 837-845 - [c66]Alexander E. I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner, David Robert White:
Gin: genetic improvement research made easy. GECCO 2019: 985-993 - [c65]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters. GECCO 2019: 1293-1301 - [c64]Mahfouth Alghamdi, Christoph Treude, Markus Wagner:
Toward human-like summaries generated from heterogeneous software artefacts. GECCO (Companion) 2019: 1701-1702 - [c63]Mahmoud A. Bokhari, Markus Wagner, Brad Alexander:
The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach. GECCO (Companion) 2019: 1705-1706 - [c62]Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White:
A survey of genetic improvement search spaces. GECCO (Companion) 2019: 1715-1721 - [c61]Markus Wagner:
Kinder surprise's debut in discrete optimisation: a real-world toy problem that can be subadditive. GECCO (Companion) 2019: 1813-1820 - [c60]Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner:
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) 2019: 353-366 - [c59]Christoph Treude, Markus Wagner:
Predicting good configurations for GitHub and stack overflow topic models. MSR 2019: 84-95 - [p1]Mohammad Reza Bonyadi, Zbigniew Michalewicz, Markus Wagner, Frank Neumann:
Evolutionary Computation for Multicomponent Problems: Opportunities and Future Directions. Optimization in Industry 2019: 13-30 - [d1]Mehdi Neshat, Markus Wagner, Bradley Alexander:
Wave Energy Converters. UCI Machine Learning Repository, 2019 - [i34]Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner:
A characterisation of S-box fitness landscapes in cryptography. CoRR abs/1902.04724 (2019) - [i33]Mohamed El Yafrani, Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Inkyung Sung, Ricardo Lüders, Markus Wagner:
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms. CoRR abs/1902.05946 (2019) - [i32]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. CoRR abs/1904.07043 (2019) - [i31]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search. CoRR abs/1904.09599 (2019) - [i30]Mahfouth Alghamdi, Christoph Treude, Markus Wagner:
Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts. CoRR abs/1905.02258 (2019) - [i29]Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner:
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR abs/1907.03076 (2019) - [i28]Markus Wagner, Hanhe Lin, Shujun Li, Dietmar Saupe:
Algorithm Selection for Image Quality Assessment. CoRR abs/1908.06911 (2019) - [i27]Mehdi Neshat, Bradley Alexander, Markus Wagner:
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. CoRR abs/1910.01280 (2019) - [i26]Aldeida Aleti, Mark Wallace, Markus Wagner:
Is perturbation an effective restart strategy? CoRR abs/1912.02535 (2019) - [i25]Madura A. Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni, Markus Wagner, Yuval Yarom:
Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers. CoRR abs/1912.05183 (2019) - [i24]Madura A. Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni, Markus Wagner, Yuval Yarom:
Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers. IACR Cryptol. ePrint Arch. 2019: 1445 (2019) - 2018
- [j11]Mohamed El Yafrani, Marcella S. R. Martins, Markus Wagner, Belaïd Ahiod, Myriam Regattieri Delgado, Ricardo Lüders:
A hyperheuristic approach based on low-level heuristics for the travelling thief problem. Genet. Program. Evolvable Mach. 19(1-2): 121-150 (2018) - [j10]Markus Wagner, Marius Lindauer, Mustafa Misir, Samadhi Nallaperuma, Frank Hutter:
A case study of algorithm selection for the traveling thief problem. J. Heuristics 24(3): 295-320 (2018) - [j9]Shelvin Chand, Quang Nhat Huynh, Hemant K. Singh, Tapabrata Ray, Markus Wagner:
On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems. Inf. Sci. 432: 146-163 (2018) - [c58]Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam Regattieri de Biase da Silva Delgado, Belaïd Ahiod, Ricardo Lüders:
A fitness landscape analysis of the travelling thief problem. GECCO 2018: 277-284 - [c57]Tobias Friedrich, Francesco Quinzan, Markus Wagner:
Escaping large deceptive basins of attraction with heavy-tailed mutation operators. GECCO 2018: 293-300 - [c56]Junhua Wu, Sergey Polyakovskiy, Markus Wagner, Frank Neumann:
Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem. GECCO 2018: 777-784 - [c55]Carola Doerr, Markus Wagner:
Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problems. GECCO 2018: 943-950 - [c54]Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner:
Discrepancy-based evolutionary diversity optimization. GECCO 2018: 991-998 - [c53]Mehdi Neshat, Bradley Alexander, Markus Wagner, Yuanzhong Xia:
A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. GECCO 2018: 1318-1325 - [c52]Mahmoud A. Bokhari, Bradley Alexander, Markus Wagner:
In-vivo and offline optimisation of energy use in the presence of small energy signals: A case study on a popular Android library. MobiQuitous 2018: 207-215 - [c51]Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Data-driven search-based software engineering. MSR 2018: 341-352 - [c50]Tobias Friedrich, Andreas Göbel, Francesco Quinzan, Markus Wagner:
Heavy-Tailed Mutation Operators in Single-Objective Combinatorial Optimization. PPSN (1) 2018: 134-145 - [c49]Carola Doerr, Markus Wagner:
Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization. PPSN (2) 2018: 360-372 - [c48]Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Ales Zamuda:
Workshops at PPSN 2018. PPSN (2) 2018: 490-497 - [c47]Dídac Rodríguez Arbonès, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, Markus Wagner:
Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions. PPSN (1) 2018: 512-524 - [i23]Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Data-Driven Search-based Software Engineering. CoRR abs/1801.10241 (2018) - [i22]Junhua Wu, Sergey Polyakovskiy, Markus Wagner, Frank Neumann:
Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem. CoRR abs/1802.02434 (2018) - [i21]Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner:
Discrepancy-based Evolutionary Diversity Optimization. CoRR abs/1802.05448 (2018) - [i20]Carola Doerr, Markus Wagner:
On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems. CoRR abs/1803.01425 (2018) - [i19]Christoph Treude, Markus Wagner:
Per-Corpus Configuration of Topic Modelling for GitHub and Stack Overflow Collections. CoRR abs/1804.04749 (2018) - [i18]Tobias Friedrich, Andreas Göbel, Francesco Quinzan, Markus Wagner:
Evolutionary Algorithms and Submodular Functions: Benefits of Heavy-Tailed Mutations. CoRR abs/1805.10902 (2018) - [i17]Thomas Weise, Zijun Wu, Markus Wagner:
An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. CoRR abs/1806.08984 (2018) - [i16]Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann:
Evolutionary Diversity Optimization Using Multi-Objective Indicators. CoRR abs/1811.06804 (2018) - [i15]Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers. CoRR abs/1812.01550 (2018) - 2017
- [c46]Tobias Friedrich, Timo Kötzing, Markus Wagner:
A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. AAAI 2017: 801-807 - [c45]Md. Shahriar Mahbub, Markus Wagner, Luigi Crema:
Multi-objective Optimisation with Multiple Preferred Regions. ACALCI 2017: 241-253 - [c44]Wenwen Li, Ender Özcan, Robert I. John, John H. Drake, Aneta Neumann, Markus Wagner:
A modified indicator-based evolutionary algorithm (mIBEA). CEC 2017: 1047-1054 - [c43]Markus Wagner, Tobias Friedrich, Marius Lindauer:
Improving local search in a minimum vertex cover solver for classes of networks. CEC 2017: 1704-1711 - [c42]Mohamed El Yafrani, Shelvin Chand, Aneta Neumann, Belaïd Ahiod, Markus Wagner:
Multi-objectiveness in the single-objective traveling thief problem. GECCO (Companion) 2017: 107-108 - [c41]Andrei Lissovoi, Dirk Sudholt, Markus Wagner, Christine Zarges:
Theoretical results on bet-and-run as an initialisation strategy. GECCO 2017: 857-864 - [c40]Mahmoud A. Bokhari, Bobby R. Bruce, Bradley Alexander, Markus Wagner:
Deep parameter optimisation on Android smartphones for energy minimisation: a tale of woe and a proof-of-concept. GECCO (Companion) 2017: 1501-1508 - [c39]Serdar Kadioglu, Meinolf Sellmann, Markus Wagner:
Learning a Reactive Restart Strategy to Improve Stochastic Search. LION 2017: 109-123 - [c38]Junhua Wu, Markus Wagner, Sergey Polyakovskiy, Frank Neumann:
Exact Approaches for the Travelling Thief Problem. SEAL 2017: 110-121 - [e1]Markus Wagner, Xiaodong Li, Tim Hendtlass:
Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings. Lecture Notes in Computer Science 10142, 2017, ISBN 978-3-319-51690-5 [contents] - [i14]Mahmoud A. Bokhari, Yuanzhong Xia, Bo Zhou, Bradley Alexander, Markus Wagner:
Validation of Internal Meters of Mobile Android Devices. CoRR abs/1701.07095 (2017) - [i13]Junhua Wu, Markus Wagner, Sergey Polyakovskiy, Frank Neumann:
Exact Approaches for the Travelling Thief Problem. CoRR abs/1708.00331 (2017) - [i12]Markus Wagner, Leandro L. Minku, Ahmed E. Hassan, John A. Clark:
Data-Driven Search-Based Software Engineering (NII Shonan Meeting 2017-19). NII Shonan Meet. Rep. 2017 (2017) - 2016
- [j8]Md. Shahriar Mahbub, Markus Wagner, Luigi Crema:
Incorporating domain knowledge into the optimization of energy systems. Appl. Soft Comput. 47: 483-493 (2016) - [j7]Markus Wagner:
Nested Multi- and Many-Objective Optimization of Team Track Pursuit Cycling. Frontiers Appl. Math. Stat. 2: 17 (2016) - [c37]Markus Wagner:
Stealing Items More Efficiently with Ants: A Swarm Intelligence Approach to the Travelling Thief Problem. ANTS Conference 2016: 273-281 - [c36]Daniel Lückehe, Markus Wagner, Oliver Kramer:
Constrained evolutionary wind turbine placement with penalty functions. CEC 2016: 4903-4910 - [c35]Shelvin Chand, Markus Wagner:
Fast Heuristics for the Multiple Traveling Thieves Problem. GECCO 2016: 293-300 - [c34]Junhua Wu, Slava Shekh, Nataliia Y. Sergiienko, Benjamin S. Cazzolato, Boyin Ding, Frank Neumann, Markus Wagner:
Fast and Effective Optimisation of Arrays of Submerged Wave Energy Converters. GECCO 2016: 1045-1052 - [c33]Markus Wagner:
Speeding up the Proof Strategy in Formal Software Verification. GECCO (Companion) 2016: 1137-1138 - [c32]Mahmoud A. Bokhari, Markus Wagner:
Optimising Energy Consumption Heuristically on Android Mobile Phones. GECCO (Companion) 2016: 1139-1140 - [c31]Dídac Rodríguez Arbonès, Boyin Ding, Nataliia Y. Sergiienko, Markus Wagner:
Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters. PPSN 2016: 675-685 - [i11]Mohammad Reza Bonyadi, Zbigniew Michalewicz, Frank Neumann, Markus Wagner:
Evolutionary computation for multicomponent problems: opportunities and future directions. CoRR abs/1606.06818 (2016) - [i10]Markus Wagner, Marius Lindauer, Mustafa Misir, Samadhi Nallaperuma, Frank Hutter:
A case study of algorithm selection for the traveling thief problem. CoRR abs/1609.00462 (2016) - [i9]Tobias Friedrich, Timo Kötzing, Markus Wagner:
A Generic Bet-and-run Strategy for Speeding Up Traveling Salesperson and Minimum Vertex Cover. CoRR abs/1609.03993 (2016) - 2015
- [j6]Tobias Friedrich, Markus Wagner:
Seeding the initial population of multi-objective evolutionary algorithms: A computational study. Appl. Soft Comput. 33: 223-230 (2015) - [j5]Markus Wagner, Frank Neumann, Tommaso Urli:
On the Performance of Different Genetic Programming Approaches for the SORTING Problem. Evol. Comput. 23(4): 583-609 (2015) - [j4]Markus Wagner, Karl Bringmann, Tobias Friedrich, Frank Neumann:
Efficient optimization of many objectives by approximation-guided evolution. Eur. J. Oper. Res. 243(2): 465-479 (2015) - [j3]Samadhi Nallaperuma, Markus Wagner, Frank Neumann:
Analyzing the Effects of Instance Features and Algorithm Parameters for Max-Min Ant System and the Traveling Salesperson Problem. Frontiers Robotics AI 2: 18 (2015) - [j2]Youhei Kawamura, Markus Wagner, Hyongdoo Jang, Hajime Nobuhara, Takeshi Shibuya, Itaru Kitahara, Ashraf M. Dewan, Bert Veenendaal:
A Multimedia Data Visualization Based on Ad Hoc Communication Networks and Its Application to Disaster Management. ISPRS Int. J. Geo Inf. 4(4): 2004-2018 (2015) - [c30]Hayden Faulkner, Sergey Polyakovskiy, Tom Schultz, Markus Wagner:
Approximate Approaches to the Traveling Thief Problem. GECCO 2015: 385-392 - [c29]Daniel Lückehe, Markus Wagner, Oliver Kramer:
On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints. GECCO 2015: 1223-1230 - [c28]Mahmoud A. Bokhari, Markus Wagner:
Improving Test Coverage of Formal Verification Systems via Beam Search. GECCO (Companion) 2015: 1357-1358 - [c27]Mahmoud A. Bokhari, Thorsten Bormer, Markus Wagner:
An Improved Beam-Search for the Test Case Generation for Formal Verification Systems. SSBSE 2015: 77-92 - 2014
- [c26]Markus Wagner, Frank Neumann:
Single- and multi-objective genetic programming: New runtime results for sorting. IEEE Congress on Evolutionary Computation 2014: 125-132 - [c25]Markus Wagner:
Maximising axiomatization coverage and minimizing regression testing time. IEEE Congress on Evolutionary Computation 2014: 2885-2892 - [c24]Sergey Polyakovskiy, Mohammad Reza Bonyadi, Markus Wagner, Zbigniew Michalewicz, Frank Neumann:
A comprehensive benchmark set and heuristics for the traveling thief problem. GECCO 2014: 477-484 - [c23]Samadhi Nallaperuma, Markus Wagner, Frank Neumann:
Parameter Prediction Based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson Problem. PPSN 2014: 100-109 - [c22]Anh Quang Nguyen, Markus Wagner, Frank Neumann:
User Preferences for Approximation-Guided Multi-objective Evolution. SEAL 2014: 251-262 - [c21]Mohammad Reza Bonyadi, Zbigniew Michalewicz, Markus Wagner:
Beyond the Edge of Feasibility: Analysis of Bottlenecks. SEAL 2014: 431-442 - [i8]Tobias Friedrich, Markus Wagner:
Seeding the Initial Population of Multi-Objective Evolutionary Algorithms: A Computational Study. CoRR abs/1412.0307 (2014) - 2013
- [j1]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Jakob Bossek, Frank Neumann:
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem. Ann. Math. Artif. Intell. 69(2): 151-182 (2013) - [c20]Markus Wagner, Tobias Friedrich:
Efficient parent selection for Approximation-Guided Evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2013: 1846-1853 - [c19]Samadhi Nallaperuma, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, Heike Trautmann:
A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem. FOGA 2013: 147-160 - [c18]Anh Nguyen, Tommaso Urli, Markus Wagner:
Single- and multi-objective genetic programming: new bounds for weighted order and majority. FOGA 2013: 161-172 - [c17]Samadhi Nallaperuma, Markus Wagner, Frank Neumann:
Ant colony optimisation and the traveling salesperson problem: hardness, features and parameter settings. GECCO (Companion) 2013: 13-14 - [c16]Markus Wagner, Frank Neumann:
A fast approximation-guided evolutionary multi-objective algorithm. GECCO 2013: 687-694 - [c15]Raymond Tran, Junhua Wu, Christopher Denison, Thomas Ackling, Markus Wagner, Frank Neumann:
Fast and effective multi-objective optimisation of wind turbine placement. GECCO 2013: 1381-1388 - [c14]Bernhard Beckert, Thorsten Bormer, Markus Wagner:
A Metric for Testing Program Verification Systems. TAP@STAF 2013: 56-75 - 2012
- [c13]Kalyan Veeramachaneni, Markus Wagner, Una-May O'Reilly, Frank Neumann:
Optimizing energy output and layout costs for large wind farms using particle swarm optimization. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c12]Joseph Yuen, Sophia Gao, Markus Wagner, Frank Neumann:
An adaptive data structure for evolutionary multi-objective algorithms with unbounded archives. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c11]Olaf Mersmann, Bernd Bischl, Jakob Bossek, Heike Trautmann, Markus Wagner, Frank Neumann:
Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness. LION 2012: 115-129 - [c10]Tommaso Urli, Markus Wagner, Frank Neumann:
Experimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics. PPSN (1) 2012: 102-112 - [c9]Markus Wagner, Frank Neumann:
Parsimony Pressure versus Multi-objective Optimization for Variable Length Representations. PPSN (1) 2012: 133-142 - [i7]Markus Wagner, Jareth Day, Frank Neumann:
A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines. CoRR abs/1204.4560 (2012) - [i6]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Frank Neumann:
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem. CoRR abs/1208.2318 (2012) - 2011
- [c8]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre, Markus Wagner, Carola Winzen:
Faster black-box algorithms through higher arity operators. FOGA 2011: 163-172 - [c7]Timo Kötzing, Frank Neumann, Dirk Sudholt, Markus Wagner:
Simple max-min ant systems and the optimization of linear pseudo-boolean functions. FOGA 2011: 209-218 - [c6]Karl Bringmann, Tobias Friedrich, Frank Neumann, Markus Wagner:
Approximation-Guided Evolutionary Multi-Objective Optimization. IJCAI 2011: 1198-1203 - [i5]Markus Wagner, Frank Neumann:
Computational Complexity Results for Genetic Programming and the Sorting Problem. CoRR abs/1103.5797 (2011) - [i4]Markus Wagner, Jareth Day, Claire Diora Jordan, Trent Kroeger, Frank Neumann:
Evolving Pacing Strategies for Team Pursuit Track Cycling. CoRR abs/1104.0775 (2011) - [i3]Katya Vladislavleva, Tobias Friedrich, Frank Neumann, Markus Wagner:
Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation. CoRR abs/1109.1922 (2011) - 2010
- [i2]Timo Kötzing, Frank Neumann, Dirk Sudholt, Markus Wagner:
Simple Max-Min Ant Systems and the Optimization of Linear Pseudo-Boolean Functions. CoRR abs/1007.4707 (2010) - [i1]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre, Markus Wagner, Carola Winzen:
Faster Black-Box Algorithms Through Higher Arity Operators. CoRR abs/1012.0952 (2010)
2000 – 2009
- 2009
- [c5]Claudia Obermaier, Markus Wagner:
Towards an evolved lower bound for the most circular partition of a square. IEEE Congress on Evolutionary Computation 2009: 1463-1469 - [c4]Markus Wagner:
Probabilistic User Models for the Verification of Human-Computer Interaction. Informatiktage 2009: 139-142 - [c3]Bernhard Beckert, Markus Wagner:
Probabilistic Models for the Verification of Human-Computer Interaction. KI 2009: 687-694 - 2008
- [c2]Tomasz Michal Oliwa, Markus Wagner:
Composing Music with Neural Networks and Probabilistic Finite-State Machines. EvoWorkshops 2008: 503-508 - [c1]Cody Boisclair, Markus Wagner:
Better Huffman Coding via Genetic Algorithm. GEM 2008: 30-34
Coauthor Index
Alexander E. I. Brownlee
aka: Alexander Edward Ian Brownlee
aka: Alexander Edward Ian Brownlee
Myriam Delgado
aka: Myriam Regattieri Delgado
aka: Myriam R. B. S. Delgado
aka: Myriam Regattieri de Biase da Silva Delgado
aka: Myriam Regattieri Delgado
aka: Myriam R. B. S. Delgado
aka: Myriam Regattieri de Biase da Silva Delgado
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