Christian Grimme

Orcid: 0000-0002-8608-8773

Affiliations:
  • Westfälische Wilhelms-Universität Münster, Germany


According to our database1, Christian Grimme authored at least 77 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem.
Evol. Comput., 2024

Benchmarking Sentence Embeddings in Textual Stream Clustering with Applications to Campaign Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Generalised Kruskal Mutation for the Multi-Objective Minimum Spanning Tree Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
The objective that freed me: a multi-objective local search approach for continuous single-objective optimization.
Nat. Comput., June, 2023

Towards Multimodal Campaign Detection: Including Image Information in Stream Clustering to Detect Social Media Campaigns.
Proceedings of the Disinformation in Open Online Media, 2023

Lost in Transformation: Rediscovering LLM-Generated Campaigns in Social Media.
Proceedings of the Disinformation in Open Online Media, 2023

Invasion@Ukraine: Providing and Describing a Twitter Streaming Dataset That Captures the Outbreak of War between Russia and Ukraine in 2022.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Immunize the Public against Disinformation Campaigns: Developing a Framework for Analyzing the Macrosocial Effects of Prebunking Interventions.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems.
IEEE Trans. Evol. Comput., 2022

New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication.
Proceedings of the Disinformation in Open Online Media, 2022

Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

MOLE: digging tunnels through multimodal multi-objective landscapes.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Lifting the Multimodality-Fog in Continuous Multi-objective Optimization.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

What is it about humanity that we can't give away to intelligent machines? A European perspective.
Int. J. Inf. Manag., 2021

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization.
Comput. Oper. Res., 2021

Is YouTube Still a Radicalizer? An Exploratory Study on Autoplay and Recommendation.
Proceedings of the Disinformation in Open Online Media, 2021

To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Multi<sup>3</sup>: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020
Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems.
CoRR, 2020

Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News.
Proceedings of the Disinformation in Open Online Media, 2020

A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media.
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020

Dynamic bi-objective routing of multiple vehicles.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards Real-Time and Unsupervised Campaign Detection in Social Media.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Search Dynamics on Multimodal Multiobjective Problems.
Evol. Comput., 2019

Openbots.
CoRR, 2019

Analysis of Account Engagement in Onsetting Twitter Message Cascades.
Proceedings of the Disinformation in Open Online Media, 2019

Automated Detection of Nostalgic Text in the Context of Societal Pessimism.
Proceedings of the Disinformation in Open Online Media, 2019

Inside the Tool Set of Automation: Free Social Bot Code Revisited.
Proceedings of the Disinformation in Open Online Media, 2019

On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Multimodality in Multi-objective Optimization - More Boon than Bane?
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

Changing Perspectives: Is It Sufficient to Detect Social Bots?
Proceedings of the Social Computing and Social Media. User Experience and Behavior, 2018

Local search effects in bi-objective orienteering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Social Bots: Human-Like by Means of Human Control?
Big Data, 2017

An extended mutation-based priority-rule integration concept for multi-objective machine scheduling.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A pareto-beneficial sub-tree mutation for the multi-criteria minimum spanning tree problem.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Multi-objective Optimization for Liner Shipping Fleet Repositioning.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Towards Standardized and Seamless Integration of Expert Knowledge into Multi-objective Evolutionary Optimization Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

An Expedition to Multimodal Multi-objective Optimization Landscapes.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results.
Comput. Optim. Appl., 2016

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multi-objective Analysis of Approaches to Dynamic Routing of a Vehicle.
Proceedings of the 23rd European Conference on Information Systems, 2015

2014
An Aspiration Set EMOA Based on Averaged Hausdorff Distances.
Proceedings of the Learning and Intelligent Optimization, 2014

2013
On the Integration of Theoretical Single-Objective Scheduling Results for Multi-objective Problems.
Proceedings of the EVOLVE, 2013

Multi-criteria scheduling: an agent-based approach for expert knowledge integration.
J. Sched., 2013

2012
Das Räuber-Beute-Modell für die mehrkriterielle Optimierung - Analyse und Anwendung.
PhD thesis, 2012

Parallel predator-prey interaction for evolutionary multi-objective optimization.
Nat. Comput., 2012

An Approach to Instantly Use Single-Objective Results for Multi-objective Evolutionary Combinatorial Optimization.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

2011
Connecting Community-Grids by supporting job negotiation with coevolutionary Fuzzy-Systems.
Soft Comput., 2011

Integrating niching into the predator-prey model using epsilon-constraints.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

An expertise-guided multi-criteria approach to scheduling problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Combining basic heuristics for solving multi-objective scheduling problems.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Scheduling, 2011

2010
Robust Load Delegation in Service Grid Environments.
IEEE Trans. Parallel Distributed Syst., 2010

The Gain of Resource Delegation in Distributed Computing Environments.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2010

Applying P2P Strategies to Scheduling in Decentralized Grid Computing Infrastructures.
Proceedings of the 39th International Conference on Parallel Processing, 2010

2009
Generalizing the data management of three community grids.
Future Gener. Comput. Syst., 2009

Cooperative negotiation and scheduling of scientific workflows in the collaborative climate community data and processing grid.
Future Gener. Comput. Syst., 2009

Competitive Coevolutionary Learning of Fuzzy Systems for Job Exchange in Computational Grids.
Evol. Comput., 2009

Decentralized Grid Scheduling with Evolutionary Fuzzy Systems.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2009

Co-evolving fuzzy rule sets for job exchange in computational grids.
Proceedings of the FUZZ-IEEE 2009, 2009

Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008
The Parallel Predator-Prey Model: A Step towards Practical Application.
Proceedings of the Parallel Problem Solving from Nature, 2008

Discovering performance bounds for grid scheduling by using evolutionary multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Towards A Standards-Based Grid Scheduling Architecture.
Proceedings of the Grid Computing, 2008

Benefits of Job Exchange between Autonomous Sites in Decentralized Computational Grids.
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2007
Prospects of Collaboration between Compute Providers by Means of Job Interchange.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2007

Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Designing Multi-objective Variation Operators Using a Predator-Prey Approach.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

2006
Inside a predator-prey model for multi-objective optimization: a second study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006


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