Markus Wagner

Orcid: 0000-0002-3124-0061

Affiliations:
  • Monash University, Department of Data Science and Artificial Intelligence, Melbourne, VIC, Australia
  • University of Adelaide, Australia (former)


According to our database1, Markus Wagner authored at least 175 papers between 2008 and 2024.

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Bibliography

2024
Detecting outdated code element references in software repository documentation.
Empir. Softw. Eng., February, 2024

Assessing domain gap for continual domain adaptation in object detection.
Comput. Vis. Image Underst., January, 2024

2023
Genetic Improvement @ ICSE 2023.
ACM SIGSOFT Softw. Eng. Notes, October, 2023

Program transformation landscapes for automated program modification using Gin.
Empir. Softw. Eng., July, 2023

Editorial to the "Best of GECCO 2022" Special Issue: Part I.
ACM Trans. Evol. Learn. Optim., June, 2023

NCQ: Code Reuse Support for Node.js Developers.
IEEE Trans. Software Eng., 2023

Online Deployment Algorithms for Microservice Systems With Complex Dependencies.
IEEE Trans. Cloud Comput., 2023

A regression analysis of the impact of routing and packing dependencies on the expected runtime.
Soft Comput., 2023

CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives.
Proc. ACM Program. Lang., 2023

Community Battery Energy Storage Systems for Enhancing Distribution System Operation: A Multi-objective Optimization Approach.
CoRR, 2023

Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach.
CoRR, 2023

Socialz: Multi-Feature Social Fuzz Testing.
CoRR, 2023

Problems in Microservice Development: Supporting Visualisation.
Proceedings of the IEEE Working Conference on Software Visualization, 2023

Using the TypeScript compiler to fix erroneous Node.js snippets.
Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023

Applying information theory to software evolution.
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

Design of Terahertz All-Dielectric Antenna via Optimisation.
Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023

Wait, wasn't that code here before? Detecting Outdated Software Documentation.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

CryptOpt: Automatic Optimization of Straightline Code.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

ELEA - Build your own Evolutionary Algorithm in your Browser.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach.
Optim. Lett., 2022

Self-adaptive systems: A systematic literature review across categories and domains.
Inf. Softw. Technol., 2022

Metaheuristics "In the Large".
Eur. J. Oper. Res., 2022

CryptOpt: Verified Compilation with Random Program Search for Cryptographic Primitives.
CoRR, 2022

Fairness in generative modeling.
CoRR, 2022

Automatically Categorising GitHub Repositories by Application Domain.
CoRR, 2022

Is Surprisal in Issue Trackers Actionable?
CoRR, 2022

On the Utility of Marrying GIN and PMD for Improving Stack Overflow Code Snippets.
CoRR, 2022

Software Engineering User Study Recruitment on Prolific: An Experience Report.
CoRR, 2022

A weighted-sum method for solving the bi-objective traveling thief problem.
Comput. Oper. Res., 2022

Run-of-mine stockyard recovery scheduling and optimisation for multiple reclaimers.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Optimal offering strategy for an aggregator across multiple products of European day-ahead market.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

Fairness in generative modeling: do it unsupervised!
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

On the fitness landscapes of interdependency models in the travelling thief problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Dissecting copy/delete/replace/swap mutations: insights from a GIN case study.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Combining GIN and PMD for code improvements.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Opportunities for genetic improvement of cryptographic code.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Neighbours similar fitness and the effectiveness of restarting local search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022

2021
GTOPX space mission benchmarks.
SoftwareX, 2021

Evolutionary algorithms and submodular functions: benefits of heavy-tailed mutations.
Nat. Comput., 2021

Saving computational budget in Bayesian network-based evolutionary algorithms.
Nat. Comput., 2021

Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code.
IACR Cryptol. ePrint Arch., 2021

A non-dominated sorting based customized random-key genetic algorithm for the bi-objective traveling thief problem.
J. Heuristics, 2021

What makes a good Node.js package? Investigating Users, Contributors, and Runnability.
CoRR, 2021

NCQ: code reuse support for Node.js developers.
CoRR, 2021

Toward more efficient heuristic construction of Boolean functions.
Appl. Soft Comput., 2021

Modelling and optimization of run-of-mine stockpile recovery.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Genetic improvement: taking real-world source code and improving it using genetic programming.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Generating instances with performance differences for more than just two algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Novelty particle swarm optimisation for truss optimisation problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

On the effectiveness of restarting local search.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

MATE: A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic Regression.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

2020
New insights into position optimisation of wave energy converters using hybrid local search.
Swarm Evol. Comput., 2020

Genetic Improvement @ ICSE 2020.
ACM SIGSOFT Softw. Eng. Notes, 2020

Ants can orienteer a thief in their robbery.
Oper. Res. Lett., 2020

A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters.
Inf. Sci., 2020

Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.
Empir. Softw. Eng., 2020

Towards Metaheuristics "In the Large".
CoRR, 2020

Benchmarking in Optimization: Best Practice and Open Issues.
CoRR, 2020

Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output.
CoRR, 2020

MATE: A Model-based Algorithm Tuning Engine.
CoRR, 2020

An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm.
CoRR, 2020

Design optimisation of a multi-mode wave energy converter.
CoRR, 2020

Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing Journal.
Appl. Soft Comput., 2020

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Human-Like Summaries from Heterogeneous and Time-Windowed Software Development Artefacts.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Optimising the fit of stack overflow code snippets into existing code.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Optimisation of large wave farms using a multi-strategy evolutionary framework.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Genetic improvement: taking real-world source code and improving it using genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards rigorous validation of energy optimisation experiments.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Genetic improvement of software efficiency: the curse of fitness estimation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

An annotated dataset of stack overflow post edits.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Wave Energy Converters.
Dataset, June, 2019

Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers.
IACR Cryptol. ePrint Arch., 2019

Is perturbation an effective restart strategy?
CoRR, 2019

Algorithm Selection for Image Quality Assessment.
CoRR, 2019

A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search.
CoRR, 2019

On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms.
CoRR, 2019

Predicting good configurations for GitHub and stack overflow topic models.
Proceedings of the 16th International Conference on Mining Software Repositories, 2019

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Kinder surprise's debut in discrete optimisation: a real-world toy problem that can be subadditive.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A survey of genetic improvement search spaces.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolutionary diversity optimization using multi-objective indicators.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A characterisation of S-box fitness landscapes in cryptography.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Gin: genetic improvement research made easy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Toward human-like summaries generated from heterogeneous software artefacts.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolving diverse TSP instances by means of novel and creative mutation operators.
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

Mind the gap - a distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Evolutionary Computation for Multicomponent Problems: Opportunities and Future Directions.
Proceedings of the Optimization in Industry, Present Practices and Future Scopes., 2019

2018
On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems.
Inf. Sci., 2018

A case study of algorithm selection for the traveling thief problem.
J. Heuristics, 2018

A hyperheuristic approach based on low-level heuristics for the travelling thief problem.
Genet. Program. Evolvable Mach., 2018

An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search.
CoRR, 2018

Per-Corpus Configuration of Topic Modelling for GitHub and Stack Overflow Collections.
CoRR, 2018

On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems.
CoRR, 2018


Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Heavy-Tailed Mutation Operators in Single-Objective Combinatorial Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Data-driven search-based software engineering.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

In-vivo and offline optimisation of energy use in the presence of small energy signals: A case study on a popular Android library.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

A fitness landscape analysis of the travelling thief problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Discrepancy-based evolutionary diversity optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A detailed comparison of meta-heuristic methods for optimising wave energy converter placements.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Escaping large deceptive basins of attraction with heavy-tailed mutation operators.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Data-Driven Search-Based Software Engineering (NII Shonan Meeting 2017-19).
NII Shonan Meet. Rep., 2017

Validation of Internal Meters of Mobile Android Devices.
CoRR, 2017

Exact Approaches for the Travelling Thief Problem.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Learning a Reactive Restart Strategy to Improve Stochastic Search.
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

Multi-objectiveness in the single-objective traveling thief problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Theoretical results on bet-and-run as an initialisation strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Deep parameter optimisation on Android smartphones for energy minimisation: a tale of woe and a proof-of-concept.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Improving local search in a minimum vertex cover solver for classes of networks.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A modified indicator-based evolutionary algorithm (mIBEA).
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Multi-objective Optimisation with Multiple Preferred Regions.
Proceedings of the Artificial Life and Computational Intelligence, 2017

A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Nested Multi- and Many-Objective Optimization of Team Track Pursuit Cycling.
Frontiers Appl. Math. Stat., 2016

A Generic Bet-and-run Strategy for Speeding Up Traveling Salesperson and Minimum Vertex Cover.
CoRR, 2016

Evolutionary computation for multicomponent problems: opportunities and future directions.
CoRR, 2016

Incorporating domain knowledge into the optimization of energy systems.
Appl. Soft Comput., 2016

Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Fast and Effective Optimisation of Arrays of Submerged Wave Energy Converters.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Speeding up the Proof Strategy in Formal Software Verification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Fast Heuristics for the Multiple Traveling Thieves Problem.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Optimising Energy Consumption Heuristically on Android Mobile Phones.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Constrained evolutionary wind turbine placement with penalty functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Stealing Items More Efficiently with Ants: A Swarm Intelligence Approach to the Travelling Thief Problem.
Proceedings of the Swarm Intelligence - 10th International Conference, 2016

2015
A Multimedia Data Visualization Based on <i>Ad Hoc</i> Communication Networks and Its Application to Disaster Management.
ISPRS Int. J. Geo Inf., 2015

Analyzing the Effects of Instance Features and Algorithm Parameters for Max-Min Ant System and the Traveling Salesperson Problem.
Frontiers Robotics AI, 2015

Efficient optimization of many objectives by approximation-guided evolution.
Eur. J. Oper. Res., 2015

On the Performance of Different Genetic Programming Approaches for the SORTING Problem.
Evol. Comput., 2015

Seeding the initial population of multi-objective evolutionary algorithms: A computational study.
Appl. Soft Comput., 2015

An Improved Beam-Search for the Test Case Generation for Formal Verification Systems.
Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Approximate Approaches to the Traveling Thief Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Improving Test Coverage of Formal Verification Systems via Beam Search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
User Preferences for Approximation-Guided Multi-objective Evolution.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Beyond the Edge of Feasibility: Analysis of Bottlenecks.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Parameter Prediction Based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

A comprehensive benchmark set and heuristics for the traveling thief problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Maximising axiomatization coverage and minimizing regression testing time.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Single- and multi-objective genetic programming: New runtime results for sorting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem.
Ann. Math. Artif. Intell., 2013

A Metric for Testing Program Verification Systems.
Proceedings of the Tests and Proofs - 7th International Conference, 2013

Fast and effective multi-objective optimisation of wind turbine placement.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Ant colony optimisation and the traveling salesperson problem: hardness, features and parameter settings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A fast approximation-guided evolutionary multi-objective algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Single- and multi-objective genetic programming: new bounds for weighted order and majority.
Proceedings of the Foundations of Genetic Algorithms XII, 2013

A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem.
Proceedings of the Foundations of Genetic Algorithms XII, 2013

Efficient parent selection for Approximation-Guided Evolutionary multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem
CoRR, 2012

A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines
CoRR, 2012

Parsimony Pressure versus Multi-objective Optimization for Variable Length Representations.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Experimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

An adaptive data structure for evolutionary multi-objective algorithms with unbounded archives.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Optimizing energy output and layout costs for large wind farms using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation
CoRR, 2011

Evolving Pacing Strategies for Team Pursuit Track Cycling
CoRR, 2011

Computational Complexity Results for Genetic Programming and the Sorting Problem
CoRR, 2011

Approximation-Guided Evolutionary Multi-Objective Optimization.
Proceedings of the IJCAI 2011, 2011

Simple max-min ant systems and the optimization of linear pseudo-boolean functions.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Faster black-box algorithms through higher arity operators.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

2009
Probabilistic Models for the Verification of Human-Computer Interaction.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Probabilistic User Models for the Verification of Human-Computer Interaction.
Proceedings of the Informatiktage 2009, 2009

Towards an evolved lower bound for the most circular partition of a square.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Better Huffman Coding via Genetic Algorithm.
Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008

Composing Music with Neural Networks and Probabilistic Finite-State Machines.
Proceedings of the Applications of Evolutionary Computing, 2008


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