Name
Affiliation
Papers
MARKUS WAGNER
Department of Computer Science, University of Koblenz, Germany#TAB#
100
Collaborators
Citations 
PageRank 
207
358
43.21
Referers 
Referees 
References 
572
2357
1320
Search Limit
1001000
Title
Citations
PageRank
Year
Perspectives of visualization onboarding and guidance in VA00.342022
Metaheuristics "In the Large"00.342022
Efficiently solving the thief orienteering problem with a max–min ant colony optimization approach00.342022
Self-adaptive systems: A systematic literature review across categories and domains10.352022
MATE - A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic Regression.00.342021
Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code00.342021
Saving computational budget in Bayesian network-based evolutionary algorithms00.342021
GTOPX space mission benchmarks00.342021
Evolutionary Algorithms And Submodular Functions: Benefits Of Heavy-Tailed Mutations00.342021
Generating instances with performance differences for more than just two algorithms00.342021
Genetic improvement: taking real-world source code and improving it using genetic programming00.342021
On the effectiveness of restarting local search00.342021
Novelty particle swarm optimisation for truss optimisation problems00.342021
Genetic improvement: taking real-world source code and improving it using genetic programming00.342020
Towards rigorous validation of energy optimisation experiments10.342020
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters20.392020
Genetic improvement of software efficiency: the curse of fitness estimation00.342020
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms.00.342020
Genetic Improvement @ ICSE 202000.342020
Evolving diverse TSP instances by means of novel and creative mutation operators.10.352019
Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics10.362019
Gin: genetic improvement research made easy20.372019
A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters00.342019
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms.00.342019
New Insights Into Position Optimisation Of Wave Energy Converters Using Hybrid Local Search10.342019
KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis.40.372019
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search00.342019
Predicting Good Configurations for GitHub and Stack Overflow Topic Models.20.362019
A survey of genetic improvement search spaces.10.352019
Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts.00.342019
Kinder surprise's debut in discrete optimisation - a real-world toy problem that can be subadditive.00.342019
A characterisation of S-box fitness landscapes in cryptography00.342019
The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems - a distributed approach.00.342019
On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm00.342019
An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search.00.342018
Evolutionary diversity optimization using multi-objective indicators00.342018
On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems.90.502018
A detailed comparison of meta-heuristic methods for optimising wave energy converter placements.10.392018
A hyperheuristic approach based on low-level heuristics for the travelling thief problem.40.382018
Workshops at PPSN 2018.00.342018
Better software analytics via “DUO”: Data mining algorithms using/used-by optimizers10.342018
Discrepancy-based Evolutionary Diversity Optimization.00.342018
On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems.20.362018
In-Vivo And Offline Optimisation Of Energy Use In The Presence Of Small Energy Signals - A Case Study On A Popular Android Library10.342018
A fitness landscape analysis of the travelling thief problem.30.372018
Escaping large deceptive basins of attraction with heavy-tailed mutation operators.30.382018
SEQUIN: a grammar inference framework for analyzing malicious system behavior.00.342018
Data-driven search-based software engineering70.402018
Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem.40.392018
Randomized Local Search Heuristics for Submodular Maximization and Covering Problems: Benefits of Heavy-tailed Mutation Operators.00.342018
  • 1
  • 2