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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
- 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)- [i74]Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing:
ELEA - Build your own Evolutionary Algorithm in your Browser. CoRR abs/2302.06277 (2023) - [i73]Francisco Zanartu, Christoph Treude, Markus Wagner:
Socialz: Multi-Feature Social Fuzz Testing. CoRR abs/2302.08664 (2023) - [i72]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) - [i71]Adriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner:
Applying information theory to software evolution. CoRR abs/2303.13729 (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 - [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 - [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]