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Generating Instances with Performance Differences for More Than Just Two Algorithms


Apr 29, 2021
Jakob Bossek, Markus Wagner


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Metaheuristics "In the Large"


Dec 18, 2020
Jerry Swan, Steven Adriaensen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White


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Towards Metaheuristics "In the Large"


Nov 20, 2020
Jerry Swan, Steven Adriaensen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White


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A weighted-sum method for solving the bi-objective traveling thief problem


Nov 10, 2020
Jonatas B. C. Chagas, Markus Wagner


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GTOPX Space Mission Benchmarks


Nov 05, 2020
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner


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Genetic Improvement @ ICSE 2020


Jul 31, 2020
William B. Langdon, Westley Weimer, Justyna Petke, Erik 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 Gerten

* 7 pages, 2 figures. Write up of GI @ ICSE 2020 workshop. Submitted to ACM SIGSOFT Software Engineering Notes 

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Benchmarking in Optimization: Best Practice and Open Issues


Jul 07, 2020
Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel Lopez-Ibanez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise


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The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms


May 10, 2020
Ragav Sachdeva, Frank Neumann, Markus Wagner


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An Annotated Dataset of Stack Overflow Post Edits


May 06, 2020
Sebastian Baltes, Markus Wagner


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Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations


Apr 27, 2020
Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner

* 14 pages. Submitted to PPSN2020 

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MATE: A Model-based Algorithm Tuning Engine


Apr 27, 2020
Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen

* 14 pages. Submitted to PPSN2020 

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Ants can orienteer a thief in their robbery


Apr 15, 2020
Jonatas B. C. Chagas, Markus Wagner


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Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output


Apr 02, 2020
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner


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Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework


Mar 21, 2020
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner


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An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm


Feb 21, 2020
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner


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A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem


Feb 11, 2020
Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb


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Design optimisation of a multi-mode wave energy converter


Jan 24, 2020
Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner


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Is perturbation an effective restart strategy?


Dec 05, 2019
Aldeida Aleti, Mark Wallace, Markus Wagner


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A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters


Oct 03, 2019
Mehdi Neshat, Bradley Alexander, Markus Wagner


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Algorithm Selection for Image Quality Assessment


Aug 19, 2019
Markus Wagner, Hanhe Lin, Shujun Li, Dietmar Saupe

* Presented at the Seventh Workshop on COnfiguration and SElection of ALgorithms (COSEAL), Potsdam, Germany, August 26--27, 2019 

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Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation


Jul 09, 2019
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner

* 12 pages, 2 tables, 6 figures 

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A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search


Apr 21, 2019
Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko, Markus Wagner


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A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters


Apr 15, 2019
Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko, Markus Wagner


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On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms


Feb 15, 2019
Mohamed El Yafrani, Marcella S. R. Martins, Myriam R. B. S. Delgado, Inkyung Sung, Ricardo Lüders, Markus Wagner


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A characterisation of S-box fitness landscapes in cryptography


Feb 13, 2019
Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner


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Evolutionary Diversity Optimization Using Multi-Objective Indicators


Nov 16, 2018
Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann


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An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search


Jun 23, 2018
Thomas Weise, Zijun Wu, Markus Wagner

* results publicly available: https://zenodo.org/record/1253770 

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