Renewable Energy 2013 (Elsevier, impact factor 3.982)

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation
Katya Vladislavleva, Tobias Friedrich, Frank Neumann, and Markus Wagner
ScienceDirect | arXiv.org

Annals of Mathematics and Artificial Intelligence 2013 (Springer, impact factor 0.49)

A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem
Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, and Frank Neumann
Springer AMAI | arXiv.org

Book Chapters

Advances in Metaheuristics 2013

Evolving Pacing Strategies for Team Pursuit Track Cycling
Markus Wagner, Jareth Day, Diora Jordan, Trent Kroeger, and Frank Neumann
Springer Operations Research/Computer Science Interfaces Series | PDF

GPTP 2011

Computational Complexity Analysis of Genetic Programming
Frank Neumann, Una-May O'Reilly, and Markus Wagner
Genetic Programming: Theory and Practice
PDF | Chapter @ Springer Verlag | Book @ Springer Verlag | BibTeX | Abstract

Refereed Conference Papers and Other Articles

Technical Report

Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers
Madura A Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni, Markus Wagner, and Yuval Yarom
arxiv.org | ePrint

Technical Report

Is perturbation an effective restart strategy?
Aldeida Aleti, Mark Wallace, and Markus Wagner
arxiv.org

Configuration and Selection of Algorithms Workshop (COSEAL) 2019

Algorithm Selection for Image Quality Assessment
Markus Wagner, Hanhe Lin, Shujun Li, and Dietmar Saupe
arxiv.org | arxiv.org PDF | poster

International Conference on Neural Information Processing (ICONIP) 2019

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, and Markus Wagner
SpringLink | researchgate

BRACIS 2019

On updating probabilistic graphical models in a Bayesian Optimisation Algorithm
Marcella Scoczynski, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders, Inkyung Sung, Markus Wagner, and Diego Oliva
PDF

Foundations of Genetic Algorithms (FOGA)

Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann and Heike Trautmann
preliminary version | code

GECCO 2019 Companion - Genetic Improvement of Software Workshop

A Survey of Genetic Improvement Search Spaces
Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E.I. Brownlee, Markus Wagner, and David R. White
ACM | PDF

GECCO 2019 Companion - Genetic Improvement of Software Workshop

Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts
Mahfouth Alghamdi, Christoph Treude, and Markus Wagner
ACM | PDF | arxiv | slides

GECCO 2019 Companion - Genetic Improvement of Software Workshop

The Quest for Non-Functional Property Optimisation in Heterogeneous and Fragmented Ecosystems: a Distributed Approach
Mahmoud A. Bokhari, Markus Wagner, and Brad Alexander
ACM | PDF | slides

GECCO 2019 Companion - Black-Box Discrete Optimisation Benchmarking Workshop

Kinder Surprise’s Debut in Discrete Optimisation – A Real-World Toy Problem that can be Subadditive
Markus Wagner
ACM | PDF | GitHub | slides

Technical Report

A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search
Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko, and Markus Wagner
arxiv.org

Technical Report

On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms
Mohamed El Yafrani, Marcella S. R. Martins, Myriam R. B. S. Delgado, Inkyung Sung, Ricardo Luders, Markus Wagner
arxiv.org

GECCO 2019, CORE A, acc rate 35%

Gin: Genetic Improvement Research Made Easy
Alexander E.I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner, and David R. White
ACM | PDF

GECCO 2019, CORE A, acc rate 35%, Best Paper Award in the RWA Track (best of 87 submissions in this track)

A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, and Markus Wagner
ACM | PDF | slides | arxiv | project page with code and videos | Best Paper Award Certificate | Best Paper Award Ceremony

GECCO 2019, CORE A, acc rate 35%

A characterisation of S-box fitness landscapes in cryptography
Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, and Markus Wagner
ACM | PDF | arxiv.org | slides

GECCO 2019, CORE A, acc rate 35%, Best Paper Nomination

Evolutionary Diversity Optimization Using Multi-Objective Indicators
Aneta Neumann, Wanru Gao, Markus Wagner, and Frank Neumann
PDF | PDF | arxiv.org | code for diversity calculations | slides | slides (extended version used on 28 Nov 2019 in Coimbra)

Mining Software Repositories (MSR) 2019, CORE A, acc rate 25%

Predicting Good Configurations for GitHub and Stack Overflow Topic Models
Christoph Treude and Markus Wagner
ACM | PDF | arxiv.org (as "Per-Corpus Configuration of Topic Modelling for GitHub and Stack Overflow Collections") | slides

Congress on Evolutionary Computation (CEC) 2019

Mind the gap -- a distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificance
Mahmoud Bokhari, Lujung Weng, Markus Wagner, Bradley Alexander
IEEE Xplore | PDF

AAAI 2019, CORE A*, acc rate 16%

An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search
Thomas Weise, Zijun Wu, and Markus Wagner
arxiv.org | data | preliminary version | slides from PGMO Days 4 Dec 2019, Paris

MOBIQUITOUS 2018

In-vivo and offline optimisation of energy use in the presence of small energy signals - A case study on a popular Android library
Mahmoud A. Bokhari, Brad Alexander, and Markus Wagner
preliminary version | ACM

Parallel Problem Solving from Nature (PPSN) 2018

Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization
Carola Doerr and Markus Wagner
SpringerLink | preliminary version

Parallel Problem Solving from Nature (PPSN) 2018

Heavy-tailed Mutation Operators in Single-Objective Combinatorial Optimization
Tobias Friedrich, Andreas Goebel, Francesco Quinzan, and Markus Wagner
SpringerLink | preliminary version | arXiv title: Randomized Local Search Heuristics for Submodular Maximization and Covering Problems: Benefits of Heavy-tailed Mutation Operators

Parallel Problem Solving from Nature (PPSN) 2018

Sparse incomplete LU-decomposition for Wave Farm Designs under Realistic Conditions
Didac Rodriguez Arbones, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, and Markus Wagner
SpringerLink | preliminary version

Genetic and Evolutionary Computation Conference (GECCO) 2018

Escaping Large Deceptive Basins of A raction with Heavy-Tailed Mutation Operators
Tobias Friedrich, Francesco Quinzan, and Markus Wagner
ACM | PDF | slides

Genetic and Evolutionary Computation Conference (GECCO) 2018

A Detailed Comparison of Meta-Heuristic Methods for Optimising Wave Energy Converter Placements
Mehdi Neshat, Bradley Alexander, Markus Wagner, and Yuanzhong Xia
ACM | PDF | PDF with appendix | slides

Genetic and Evolutionary Computation Conference (GECCO) 2018

A fitness landscape analysis of the Travelling Thief Problem
Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam R. B. S. Delgado, Belaid Ahiod, and Ricardo Lueders
ACM | PDF | slides | code by Mehdi EL KRARI | used igraph R package

Genetic and Evolutionary Computation Conference (GECCO) 2018

On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems
(new title: "Simple On-the-Fly Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems")
Carola Doerr and Markus Wagner
ACM | PDF | slides | arxiv.org

Genetic and Evolutionary Computation Conference (GECCO) 2018

Discrepancy-based Evolutionary Diversity Optimization
Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner
ACM | PDF | arxiv.org

Genetic and Evolutionary Computation Conference (GECCO) 2018

Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem
Junhua Wu, Sergey Polyakovskiy, Markus Wagner, Frank Neumann
ACM | PDF | arxiv.org | slides | code and results

Mining Software Repositories (MSR), CORE A, acc rate 33%

Data-Driven Search-based Software Engineering
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro Minku, Markus Wagner, Zhe Yu
ACM | PDF | slides | arxiv.org

Simulated Evolution and Learning (SEAL) 2017

Exact Approaches for the Travelling Thief Problem
Junhua Wu, Markus Wagner, Sergey Polyakovskiy, Frank Neumann
SpringerLink | arXiv | poster | code and results

Genetic Improvement Workshop (GI@GECCO) 2017

Deep Parameter Optimisation on Android Smartphones for Energy Minimisation - A Tale of Woe and a Proof-of-Concept
Mahmoud A. Bokhari, Bobby R. Bruce, Brad Alexander, and Markus Wagner
ACM | PDF

Genetic and Evolutionary Computation Conference (GECCO) 2017

Theoretical results on bet-and-run as an initialisation strategy
Andrei Lissovoi, Dirk Sudholt, Markus Wagner, and Christine Zarges
ACM | PDF | slides

Genetic and Evolutionary Computation Conference (GECCO) 2017

HSEDA: A Heuristic Selection Approach Based on Estimation of Distribution Algorithm for the Travelling Thief Problem
Marcella Martins, Mohamed El Yafrani, Markus Wagner, Myriam Delgado, Belaid Ahiod, and Ricardo Lueders
ACM | PDF

Genetic and Evolutionary Computation Conference (GECCO) 2017 Poster

Multi-objectiveness in the Single-objective Traveling Thief Problem
Mohamed El Yafrani, Shelvin Chand, Aneta Neumann, Belaid Ahiod, and Markus Wagner
ACM | PDF

IEEE Congress on Evolutionary Computation (CEC) 2017

Improving local search in a minimum vertex cover solver for classes of networks
Markus Wagner, Tobias Friedrich, and Marius Lindauer
IEEE Xplore | PDF

IEEE Congress on Evolutionary Computation (CEC) 2017

A Modified Indicator-Based Evolutionary Algorithm (mIBEA)
Wenwen Li, Ender Ozcan, Robert John, John H. Drake, Aneta Neumann, and Markus Wagner
IEEE Xplore | PDF | slides