Markus Wagner 0007 - researchr alias

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Viewing Publication 1 - 100 from 134

2025

The role of surprisal in issue trackersJames Caddy, Christoph Treude, Markus Wagner 0007, Earl T. Barr. ese, 30(1):30, February 2025. [doi]

2024

Smart HPA: A Resource-Efficient Horizontal Pod Auto-Scaler for Microservice ArchitecturesHussain Ahmad, Christoph Treude, Markus Wagner 0007, Claudia Szabo. icsa 2024: 46-57 [doi]

Creative and Correct: Requesting Diverse Code Solutions from AI Foundation ModelsScott Blyth, Christoph Treude, Markus Wagner 0007. forge 2024: 119-123 [doi]

Genetic Improvement: Taking real-world source code and improving it using computational search methodsAlexander Edward Ian Brownlee, Saemundur O. Haraldsson, John Robert Woodward, Markus Wagner 0007. gecco 2024: 1197-1230 [doi]

Assessing domain gap for continual domain adaptation in object detectionAnh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid 0001, Markus Wagner 0007, Tat-Jun Chin. cviu, 238:103885, January 2024. [doi]

Introduction to the "Best of GECCO 2022" Special Issue: Part IIJonathan E. Fieldsend, Markus Wagner 0007. telo, 4(2):6, June 2024. [doi]

Generating Small Instances with Interesting Features for the Traveling Salesperson ProblemTianyu Liang, Zhize Wu, Matthias Thürer, Markus Wagner 0007, Thomas Weise 0001. ijcci 2024: 173-180 [doi]

MicroKarta: Visualising Microservice ArchitecturesOscar Manglaras, Alex Farkas, Peter Fule, Christoph Treude, Markus Wagner 0007. FSE 2024: 607-611 [doi]

Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based ApproachBach Long Nguyen, Duong Duc Nguyen, Hung X. Nguyen, Duy T. Ngo, Markus Wagner 0007. tetci, 8(2):1527-1539, April 2024. [doi]

Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent ApproachBach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Surabhi Gupta, Estelle Parra, Ian D. Reid 0001, Markus Wagner 0007. tits, 25(9):11635-11647, September 2024. [doi]

Detecting outdated code element references in software repository documentationWen Siang Tan, Markus Wagner 0007, Christoph Treude. ese, 29(1):5, February 2024. [doi]

Socialz: Multi-Feature Social Fuzz TestingFrancisco Zanartu, Christoph Treude, Markus Wagner 0007. gecco 2024: [doi]

2023

ELEA - Build your own Evolutionary Algorithm in your BrowserMarkus Wagner 0007, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing. gecco 2023: 519-522 [doi]

Editorial to the "Best of GECCO 2022" Special Issue: Part IJonathan E. Fieldsend, Markus Wagner 0007. telo, 3(2), June 2023. [doi]

Online Deployment Algorithms for Microservice Systems With Complex DependenciesXiang He, Zhiying Tu, Markus Wagner 0007, Xiaofei Xu, Zhongjie Wang. tcc, 11(2):1746-1763, April - June 2023. [doi]

CryptOpt: Automatic Optimization of Straightline CodeJoel Kuepper, David Wu, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner 0007, Yuval Yarom. ICSE 2023: 141-145 [doi]

CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic PrimitivesJoel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, David Wu, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner 0007, Yuval Yarom. PACMPL, 7(PLDI):1268-1292, 2023. [doi]

Genetic Improvement @ ICSE 2023William B. Langdon, Vesna Nowack, Justyna Petke, Markus Wagner 0007, Hyeonseok Lee, Erik M. Fredericks, Gabin An, Aymeric Blot. sigsoft, 48(4):51-59, October 2023. [doi]

Problems in Microservice Development: Supporting VisualisationOscar Manglaras, Alex Farkas, Peter Fule, Christoph Treude, Markus Wagner 0007. vissoft 2023: 62-72 [doi]

Program transformation landscapes for automated program modification using GinJustyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner 0007, David Robert White. ese, 28(4):104, July 2023. [doi]

Using the TypeScript compiler to fix erroneous Node.js snippetsBrittany Reid, Christoph Treude, Markus Wagner 0007. SCAM 2023: 220-230 [doi]

NCQ: Code Reuse Support for Node.js DevelopersBrittany Reid, Marcelo d'Amorim, Markus Wagner 0007, Christoph Treude. TSE, 49(5):3205-3225, 2023. [doi]

Wait, wasn't that code here before? Detecting Outdated Software DocumentationWen Siang Tan, Markus Wagner 0007, Christoph Treude. ICSM 2023: 553-557 [doi]

Applying information theory to software evolutionAdriano Torres, Sebastian Baltes, Christoph Treude, Markus Wagner 0007. nlbse 2023: 48-55 [doi]

A regression analysis of the impact of routing and packing dependencies on the expected runtimeMohamed El Yafrani, Marcella Scoczynski, Markus Wagner 0007, Peter Nielsen. soco, 27(17):12099-12115, 2023. [doi]

2022

Neighbours similar fitness and the effectiveness of restarting local searchAldeida Aleti, Mark Wallace 0001, Markus Wagner 0007. gecco 2022: 172-175 [doi]

Run-of-mine stockyard recovery scheduling and optimisation for multiple reclaimersHirad Assimi, Ben Koch, Chris Garcia, Markus Wagner 0007, Frank Neumann 0001. SAC 2022: 1074-1083 [doi]

Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation ProblemsHirad Assimi, Frank Neumann 0001, Markus Wagner 0007, Xiaodong Li 0001. evoW 2022: 111-126 [doi]

A weighted-sum method for solving the bi-objective traveling thief problemJonatas B. C. Chagas, Markus Wagner 0007. cor, 138:105560, 2022. [doi]

Efficiently solving the thief orienteering problem with a max-min ant colony optimization approachJonatas B. C. Chagas, Markus Wagner 0007. ol, 16(8):2313-2331, 2022. [doi]

Opportunities for genetic improvement of cryptographic codeChitchanok Chuengsatiansup, Markus Wagner 0007, Yuval Yarom. gecco 2022: 1928-1929 [doi]

Optimal offering strategy for an aggregator across multiple products of European day-ahead marketYogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Markus Wagner 0007, Jon A. R. Liisberg. isgteurope 2022: 1-6 [doi]

Combining GIN and PMD for code improvementsSherlock A. Licorish, Markus Wagner 0007. gecco 2022: 790-793 [doi]

Dissecting copy/delete/replace/swap mutations: insights from a GIN case studySherlock A. Licorish, Markus Wagner 0007. gecco 2022: 1940-1945 [doi]

Metaheuristics "In the Large"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 0007, David R. White 0003. eor, 297(2):393-406, 2022. [doi]

Self-adaptive systems: A systematic literature review across categories and domainsTerence Wong, Markus Wagner 0007, Christoph Treude. INFSOF, 148:106934, 2022. [doi]

On the fitness landscapes of interdependency models in the travelling thief problemMohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner 0007. gecco 2022: 188-191 [doi]

Fairness in generative modeling: do it unsupervised!Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner 0007. gecco 2022: 320-323 [doi]

2021

On the effectiveness of restarting local searchAldeida Aleti, Mark Wallace 0001, Markus Wagner 0007. gecco 2021: 333-334 [doi]

Novelty particle swarm optimisation for truss optimisation problemsHirad Assimi, Frank Neumann 0001, Markus Wagner 0007, Xiaodong Li. gecco 2021: 67-68 [doi]

Generating instances with performance differences for more than just two algorithmsJakob Bossek, Markus Wagner 0007. gecco 2021: 1423-1432 [doi]

A non-dominated sorting based customized random-key genetic algorithm for the bi-objective traveling thief problemJonatas B. C. Chagas, Julian Blank, Markus Wagner 0007, Marcone J. F. Souza, Kalyanmoy Deb. heuristics, 27(3):267-301, 2021. [doi]

Toward more efficient heuristic construction of Boolean functionsDomagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner 0007. asc, 107:107327, 2021. [doi]

Saving computational budget in Bayesian network-based evolutionary algorithmsMarcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Diego Oliva, Markus Wagner 0007, Inkyung Sung, Mohamed El Yafrani. nc, 20(4):775-790, 2021. [doi]

Evolutionary algorithms and submodular functions: benefits of heavy-tailed mutationsFrancesco Quinzan, Andreas Göbel 0001, Markus Wagner 0007, Tobias Friedrich 0001. nc, 20(3):561-575, 2021. [doi]

GTOPX space mission benchmarksMartin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner 0007. softx, 14:100666, 2021. [doi]

Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic CodeMadura A. Shelton, Lukasz Chmielewski, Niels Samwel, Markus Wagner 0007, Lejla Batina, Yuval Yarom. ccs 2021: 685-699 [doi]

Rosita: Towards Automatic Elimination of Power-Analysis Leakage in CiphersMadura A. Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni 0001, Markus Wagner 0007, Yuval Yarom. ndss 2021: [doi]

Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic CodeMadura A. Shelton, Lukasz Chmielewski, Niels Samwel, Markus Wagner 0007, Lejla Batina, Yuval Yarom. iacr, 2021:1181, 2021. [doi]

MATE: A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic RegressionMohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner 0007, Carola Doerr, Peter Nielsen. evoW 2021: 51-67 [doi]

Genetic improvement: taking real-world source code and improving it using genetic programmingSæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Markus Wagner 0007, Bradley Alexander. gecco 2021: 786-817 [doi]

2020

Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing JournalThomas Weise 0001, Markus Wagner 0007, Bin Li 0025, Xingyi Zhang, Jörg Lässig. asc, 93:106502, 2020. [doi]

Better software analytics via "DUO": Data mining algorithms using/used-by optimizersAmritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner 0007, Zhe Yu 0002. ese, 25(3):2099-2136, 2020. [doi]

Human-Like Summaries from Heterogeneous and Time-Windowed Software Development ArtefactsMahfouth Alghamdi, Christoph Treude, Markus Wagner 0007. ppsn 2020: 329-342 [doi]

An annotated dataset of stack overflow post editsSebastian Baltes, Markus Wagner 0007. gecco 2020: 1923-1925 [doi]

Genetic improvement of software efficiency: the curse of fitness estimationMahmoud A. Bokhari, Markus Wagner 0007, Brad Alexander. gecco 2020: 1926-1927 [doi]

Towards rigorous validation of energy optimisation experimentsMahmoud A. Bokhari, Brad Alexander, Markus Wagner 0007. gecco 2020: 1232-1240 [doi]

Ants can orienteer a thief in their robberyJonatas B. C. Chagas, Markus Wagner 0007. orl, 48(6):708-714, 2020. [doi]

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman EquationsMarko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner 0007. ppsn 2020: 111-124 [doi]

Genetic Improvement @ ICSE 2020William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee 0001, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner 0007, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang 0015, Michael Gerten. sigsoft, 45(4):24-30, 2020. [doi]

Optimisation of large wave farms using a multi-strategy evolutionary frameworkMehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner 0007. gecco 2020: 1150-1158 [doi]

New insights into position optimisation of wave energy converters using hybrid local searchMehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner 0007. swevo, 59:100744, 2020. [doi]

A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy convertersMehdi Neshat, Bradley Alexander, Markus Wagner 0007. isci, 534:218-244, 2020. [doi]

Optimising the fit of stack overflow code snippets into existing codeBrittany Reid, Christoph Treude, Markus Wagner 0007. gecco 2020: 1945-1953 [doi]

The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary AlgorithmsRagav Sachdeva, Frank Neumann 0001, Markus Wagner 0007. iconip 2020: 220-228 [doi]

2019

An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local SearchThomas Weise 0001, Zijun Wu, Markus Wagner 0007. AAAI 2019: 2395-2402 [doi]

Kinder surprise's debut in discrete optimisation: a real-world toy problem that can be subadditiveMarkus Wagner 0007. gecco 2019: 1813-1820 [doi]

Toward human-like summaries generated from heterogeneous software artefactsMahfouth Alghamdi, Christoph Treude, Markus Wagner 0007. gecco 2019: 1701-1702 [doi]

The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approachMahmoud A. Bokhari, Markus Wagner 0007, Brad Alexander. gecco 2019: 1705-1706 [doi]

Mind the gap - a distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificanceMahmoud A. Bokhari, Lujun Weng, Markus Wagner 0007, Bradley Alexander. cec 2019: 1330-1337 [doi]

Evolutionary Computation for Multicomponent Problems: Opportunities and Future DirectionsMohammad Reza Bonyadi, Zbigniew Michalewicz, Markus Wagner 0007, Frank Neumann 0001. In Shubhabrata Datta, J. Paulo Davim, editors, Optimization in Industry, Present Practices and Future Scopes. pages 13-30, Springer, 2019. [doi]

Evolving diverse TSP instances by means of novel and creative mutation operatorsJakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner 0007, Frank Neumann 0001, Heike Trautmann. foga 2019: 58-71 [doi]

Gin: genetic improvement research made easyAlexander E. I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner 0007, David Robert White. gecco 2019: 985-993 [doi]

A characterisation of S-box fitness landscapes in cryptographyDomagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner 0007. gecco 2019: 285-293 [doi]

A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy convertersMehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner 0007. gecco 2019: 1293-1301 [doi]

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement OptimisationMehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner 0007. iconip 2019: 353-366 [doi]

Evolutionary diversity optimization using multi-objective indicatorsAneta Neumann, Wanru Gao, Markus Wagner 0007, Frank Neumann 0001. gecco 2019: 837-845 [doi]

A survey of genetic improvement search spacesJustyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner 0007, David Robert White. gecco 2019: 1715-1721 [doi]

Rosita: Towards Automatic Elimination of Power-Analysis Leakage in CiphersMadura A. Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni, Markus Wagner 0007, Yuval Yarom. iacr, 2019:1445, 2019. [doi]

Predicting good configurations for GitHub and stack overflow topic modelsChristoph Treude, Markus Wagner 0007. msr 2019: 84-95 [doi]

On Updating Probabilistic Graphical Models in Bayesian Optimisation AlgorithmMohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Inkyung Sung, Markus Wagner 0007, Diego Oliva. bracis 2019: 311-316 [doi]

2018

Heavy-Tailed Mutation Operators in Single-Objective Combinatorial OptimizationTobias Friedrich 0001, Andreas Göbel 0001, Francesco Quinzan, Markus Wagner 0007. ppsn 2018: 134-145 [doi]

Escaping large deceptive basins of attraction with heavy-tailed mutation operatorsTobias Friedrich 0001, Francesco Quinzan, Markus Wagner 0007. gecco 2018: 293-300 [doi]

A case study of algorithm selection for the traveling thief problemMarkus Wagner 0007, Marius Lindauer, Mustafa Misir, Samadhi Nallaperuma, Frank Hutter. heuristics, 24(3):295-320, 2018. [doi]

Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic ConditionsDídac Rodríguez Arbonès, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, Markus Wagner 0007. ppsn 2018: 512-524 [doi]

In-vivo and offline optimisation of energy use in the presence of small energy signals: A case study on a popular Android libraryMahmoud A. Bokhari, Bradley Alexander, Markus Wagner 0007. mobiquitous 2018: 207-215 [doi]

On the use of genetic programming to evolve priority rules for resource constrained project scheduling problemsShelvin Chand, Quang Nhat Huynh, Hemant K. Singh, Tapabrata Ray, Markus Wagner 0007. isci, 432:146-163, 2018. [doi]

Sensitivity of Parameter Control Mechanisms with Respect to Their InitializationCarola Doerr, Markus Wagner 0007. ppsn 2018: 360-372 [doi]

Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problemsCarola Doerr, Markus Wagner 0007. gecco 2018: 943-950 [doi]

Data-driven search-based software engineeringVivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu 0002, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner 0007, Zhe Yu. msr 2018: 341-352 [doi]

A detailed comparison of meta-heuristic methods for optimising wave energy converter placementsMehdi Neshat, Bradley Alexander, Markus Wagner 0007, Yuanzhong Xia. gecco 2018: 1318-1325 [doi]

Discrepancy-based evolutionary diversity optimizationAneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner 0007. gecco 2018: 991-998 [doi]

Evolutionary computation plus dynamic programming for the bi-objective travelling thief problemJunhua Wu, Sergey Polyakovskiy, Markus Wagner 0007, Frank Neumann. gecco 2018: 777-784 [doi]

A fitness landscape analysis of the travelling thief problemMohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner 0007, Myriam Regattieri de Biase da Silva Delgado, Belaïd Ahiod, Ricardo Lüders. gecco 2018: 277-284 [doi]

A hyperheuristic approach based on low-level heuristics for the travelling thief problemMohamed El Yafrani, Marcella S. R. Martins, Markus Wagner 0007, Belaïd Ahiod, Myriam Regattieri Delgado, Ricardo Lüders. gpem, 19(1-2):121-150, 2018. [doi]

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