Markus Wagner
Orcid: 0000-0002-3124-0061Affiliations:
- 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 191 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
2024
Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach.
IEEE Trans. Intell. Transp. Syst., September, 2024
ACM Trans. Evol. Learn. Optim., June, 2024
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Empir. Softw. Eng., February, 2024
Comput. Vis. Image Underst., January, 2024
TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation.
CoRR, 2024
Detecting Fallacies in Climate Misinformation: A Technocognitive Approach to Identifying Misleading Argumentation.
CoRR, 2024
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
Generating Small Instances with Interesting Features for the Traveling Salesperson Problem.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024
Smart HPA: A Resource-Efficient Horizontal Pod Auto-Scaler for Microservice Architectures.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Genetic Improvement: Taking real-world source code and improving it using computational search methods.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Empir. Softw. Eng., July, 2023
ACM Trans. Evol. Learn. Optim., June, 2023
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
Proceedings of the IEEE Working Conference on Software Visualization, 2023
Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023
Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023
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
Inf. Softw. Technol., 2022
CryptOpt: Verified Compilation with Random Program Search for Cryptographic Primitives.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Comput. Oper. Res., 2022
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
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022
2021
Evolutionary algorithms and submodular functions: benefits of heavy-tailed mutations.
Nat. Comput., 2021
Nat. Comput., 2021
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
Appl. Soft Comput., 2021
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
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
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
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
CoRR, 2020
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm.
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
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
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
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
IACR Cryptol. ePrint Arch., 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
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
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
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
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
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
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
J. Heuristics, 2018
A hyperheuristic approach based on low-level heuristics for the travelling thief problem.
Genet. Program. Evolvable Mach., 2018
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
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
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
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
NII Shonan Meet. Rep., 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
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
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the Artificial Life and Computational Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
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
Appl. Soft Comput., 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
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
Proceedings of the Tests and Proofs - 7th International Conference, 2013
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
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
CoRR, 2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011
2009
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
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
Proceedings of the Applications of Evolutionary Computing, 2008