Mike Preuss

Orcid: 0000-0003-4681-1346

Affiliations:
  • Universiteit Leiden, The Netherlands
  • WWU Münster, Germany (former)
  • Technical University of Dortmund, Germany (former)


According to our database1, Mike Preuss authored at least 188 papers between 2002 and 2024.

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Bibliography

2024
Editorial for the Special Issue on Reproducibility.
Evol. Comput., 2024

2023
High-accuracy model-based reinforcement learning, a survey.
Artif. Intell. Rev., September, 2023

Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning.
Int. J. Inf. Technol. Decis. Mak., March, 2023

Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes.
CoRR, 2023

Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning.
CoRR, 2023

Memory Gym: Partially Observable Challenges to Memory-Based Agents.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Exploratory Landscape Analysis.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

StoryWorld: Procedural Quest Generation Rooted in Variety & Believability.
Proceedings of the 18th International Conference on the Foundations of Digital Games, 2023

Designing for Playfulness in Human-AI Authoring Tools.
Proceedings of the 18th International Conference on the Foundations of Digital Games, 2023

QuestVille: Procedural Quest Generation Using NLP Models.
Proceedings of the 18th International Conference on the Foundations of Digital Games, 2023

Two-Memory Reinforcement Learning.
Proceedings of the IEEE Conference on Games, 2023

Continuous Episodic Control.
Proceedings of the IEEE Conference on Games, 2023

Believable Minecraft Settlements by Means of Decentralised Iterative Planning.
Proceedings of the IEEE Conference on Games, 2023

Chatter Generation through Language Models.
Proceedings of the IEEE Conference on Games, 2023

2022
Hybridizing Niching, Particle Swarm Optimization, and Evolution Strategy for Multimodal Optimization.
IEEE Trans. Cybern., 2022

Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction.
CoRR, 2022

Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization.
CoRR, 2022

When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation.
CoRR, 2022

Reliable validation of Reinforcement Learning Benchmarks.
CoRR, 2022

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

Impressions of the GDMC AI Settlement Generation Challenge in Minecraft.
Proceedings of the FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, 2022

On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Towards verifiable Benchmarks for Reinforcement Learning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game.
IEEE Trans. Games, 2021

Guest Editorial Special Issue on Team AI in Games.
IEEE Trans. Games, 2021

Team Sports for Game AI Benchmarking Revisited.
Int. J. Comput. Games Technol., 2021

Potential-based Reward Shaping in Sokoban.
CoRR, 2021

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

Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

A New Challenge: Approaching Tetris Link with AI.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

A Survey of Nearest-Better Clustering in Swarm and Evolutionary Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Transfer Learning and Curriculum Learning in Sokoban.
Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020
Behind DeepMind's AlphaStar AI that Reached Grandmaster Level in StarCraft II.
Künstliche Intell., 2020

From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI.
Künstliche Intell., 2020

Special Issue on AI in Games.
Künstliche Intell., 2020

A Games Industry Perspective on Recent Game AI Developments.
Künstliche Intell., 2020

Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey.
CoRR, 2020

Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning.
CoRR, 2020

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
CoRR, 2020

Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning.
Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020

On the Potential of Rocket League for Driving Team AI Development.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Warm-Start AlphaZero Self-play Search Enhancements.
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

IT security challenges for continuously connected near-autonomous vehicles.
Proceedings of the 2020 IEEE International Conference on Engineering, 2020

Riding the Wave of Misclassification: How We End up with Extreme YouTube Content.
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020

Versatile black-box optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards a Taxonomy of AI in Hybrid Board Games.
Proceedings of the FDG '20: International Conference on the Foundations of Digital Games, 2020

Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP).
Proceedings of the IEEE Conference on Games, 2020

Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning.
Proceedings of the IEEE Conference on Games, 2020

An Analysis of Phenotypic Diversity in Multi-solution Optimization.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

2019
RTS AI Problems and Techniques.
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019

StarCraft Bots and Competitions.
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019

Orchestrating Game Generation.
IEEE Trans. Games, 2019

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

Hyper-Parameter Sweep on AlphaZero General.
CoRR, 2019

Alternative Loss Functions in AlphaZero-like Self-play.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Many-Modal Optimization by Difficulty-Based Cooperative Co-evolution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Exploring the MLDA benchmark on the nevergrad platform.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the potential of evolution strategies for neural network weight optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

An Experiment on Game Facet Combination\.
Proceedings of the IEEE Conference on Games, 2019

2018
Planning chemical syntheses with deep neural networks and symbolic AI.
Nat., 2018



Towards Embodied StarCraft II Winner Prediction.
Proceedings of the Computer Games - 7th Workshop, 2018

A Social Science-based Approach to Explanations for (Game) AI.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations.
Evol. Comput., 2017

Artificial and Computational Intelligence in Games: AI-Driven Game Design (Dagstuhl Seminar 17471).
Dagstuhl Reports, 2017

Learning to Plan Chemical Syntheses.
CoRR, 2017

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

The true destination of EGO is multi-local optimization.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network Policies.
Proceedings of the 5th International Conference on Learning Representations, 2017

Exploratory landscape analysis: advanced tutorial at GECCO 2017.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multi-objective Adaptation of a Parameterized GVGAI Agent Towards Several Games.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
Guest Editorial Real-Time Strategy Games.
IEEE Trans. Comput. Intell. AI Games, 2016

On multiobjective selection for multimodal optimization.
Comput. Optim. Appl., 2016

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


Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

MCTS/EA hybrid GVGAI players and game difficulty estimation.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

An integrated process for game balancing.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Assessing Basin Identification Methods for Locating Multiple Optima.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015
Multimodal Optimization by Means of Evolutionary Algorithms
Natural Computing Series, Springer, ISBN: 978-3-319-07407-8, 2015

Solving Phase Equilibrium Problems by Means of Avoidance-Based Multiobjectivization.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Analyzing the BBOB Results by Means of Benchmarking Concepts.
Evol. Comput., 2015

Artificial and Computational Intelligence in Games: Integration (Dagstuhl Seminar 15051).
Dagstuhl Reports, 2015

Conference Report on IEEE CIG 2014 [Conference Reports].
IEEE Comput. Intell. Mag., 2015

Multimodal Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Detecting Funnel Structures by Means of Exploratory Landscape Analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Player-adaptive Spelunky level generation.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

How costly is a good compromise: Multi-objective TORCS controller parameter optimization.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

2014
Experimental Analysis of Optimization Algorithms: Tuning and Beyond.
Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014

Driving as a human: a track learning based adaptable architecture for a car racing controller.
Genet. Program. Evolvable Mach., 2014

Stopping Criteria for Multimodal Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Looking for Alternatives: Optimization of Energy Supply Systems without Superstructure.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Automatic Camera Control: A Dynamic Multi-Objective Perspective.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Searching for good and diverse game levels.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013
A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft.
IEEE Trans. Comput. Intell. AI Games, 2013

Controllable procedural map generation via multiobjective evolution.
Genet. Program. Evolvable Mach., 2013

EA-based parameter tuning of multimodal optimization performance by means of different surrogate models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Computational intelligence and games.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Procedural Content Generation: Goals, Challenges and Actionable Steps.
Proceedings of the Artificial and Computational Intelligence in Games, 2013

Reactive strategy choice in StarCraft by means of Fuzzy Control.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Multi-objective assessment of pre-optimized build orders exemplified for StarCraft 2.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Niching by multiobjectivization with neighbor information: Trade-offs and benefits.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures.
Soft Comput., 2012

Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods.
Evol. Comput., 2012

Artificial and Computational Intelligence in Games (Dagstuhl Seminar 12191).
Dagstuhl Reports, 2012

High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Computational intelligence in games.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Algorithm selection based on exploratory landscape analysis and cost-sensitive learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Statistical analysis of optimization algorithms with R.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Diversified Virtual Camera Composition.
Proceedings of the Applications of Evolutionary Computation, 2012

Improved Topological Niching for Real-Valued Global Optimization.
Proceedings of the Applications of Evolutionary Computation, 2012

BeatTheBeat music-based procedural content generation in a mobile game.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

Making Diplomacy Bots Individual.
Proceedings of the Believable Bots, 2012

2011
When parameter tuning actually is parameter control.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Multi-objective feature selection in music genre and style recognition tasks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Niching foundations: basin identification on fixed-property generated landscapes.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Exploratory landscape analysis.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Automatic and interactive tuning of algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Driving Faster Than a Human Player.
Proceedings of the Applications of Evolutionary Computation, 2011

Nested Look-Ahead Evolutionary Algorithm Based Planning for a Believable Diplomacy Bot.
Proceedings of the Applications of Evolutionary Computation, 2011

Tutorials: Cultural Algorithms: Incorporating social intelligence into virtual worlds.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

TORCS sensor noise removal and multi-objective track selection for driving style adaptation.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

Red teaming with coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Multimodal Optimization by Means of a Topological Species Conservation Algorithm.
IEEE Trans. Evol. Comput., 2010

Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games.
IEEE Trans. Comput. Intell. AI Games, 2010

The 2009 Simulated Car Racing Championship.
IEEE Trans. Comput. Intell. AI Games, 2010

Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.
Proceedings of the Parallel Problem Solving from Nature, 2010

Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation.
Proceedings of the Parallel Problem Solving from Nature, 2010

Tuning optimization algorithms for real-world problems by means of surrogate modeling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Niching the CMA-ES via nearest-better clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Tuning and experimental analysis in evolutionary computation: what we still have wrong.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Towards multiobjective procedural map generation.
Proceedings of the 2010 Workshop on Procedural Content Generation in Games, 2010

Multiobjective exploration of the StarCraft map space.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

Learning the track and planning ahead in a car racing controller.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

Automatic adaptation to generated content via car setup optimization in TORCS.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

AI and computational intelligence for real-time strategy games.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

RedTNet: A network model for strategy games.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

The Future of Experimental Research.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

The Sequential Parameter Optimization Toolbox.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

Introduction.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy.
Proceedings of the Foundations of Computational Intelligence, 2009

An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy.
Proceedings of the Foundations of Computational Intelligence, 2009

Support vector machine learning with an evolutionary engine.
J. Oper. Res. Soc., 2009

Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms.
Evol. Comput., 2009

the future of experimental research.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Adaptability of Algorithms for Real-Valued Optimization.
Proceedings of the Applications of Evolutionary Computing, 2009

Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Effects of 1-Greedy -Metric-Selection on Innumerably Large Pareto Fronts.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

A multiobjective approach for finding equivalent inverse images of Pareto-optimal objective vectors.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2009

Is human-like and well playing contradictory for Diplomacy bots?
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

2008
Economic optimization of non-sharp separation sequences by means of evolutionary algorithms.
Comput. Chem. Eng., 2008

Empirical Investigation of Simplified Step-Size Control in Metaheuristics with a View to Theory.
Proceedings of the Experimental Algorithms, 7th International Workshop, 2008

A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing.
Proceedings of the Parallel Problem Solving from Nature, 2008

EA-Powered Basin Number Estimation by Means of Preservation and Exploration.
Proceedings of the Parallel Problem Solving from Nature, 2008

Decision Space Diversity Can Be Essential for Solving Multiobjective Real-World Problems.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

On the Potential of Multi-objective Optimization in the Design of Sustainable Energy Systems.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Aiming for a theoretically tractable CSA variant by means of empirical investigations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Intelligent moving of groups in real-time strategy games.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Intelligent anti-grouping in real-time strategy games.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

To model or not to model: Controlling Pac-Man ghosts without incorporating global knowledge.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Measuring flow as concept for detecting game fun in the Pac-Man game.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Hybrid Numerical Optimization for Combinatorial Network Problems.
Proceedings of the Hybrid Metaheuristics, 4th International Workshop, 2007

Disburdening the species conservation evolutionary algorithm of arguing with radii.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Experimental research in evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Concerning the potential of evolutionary support vector machines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Cooperative Evolution of Rules for Classification.
Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

Evolutionary Support Vector Regression Machines.
Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

Pareto Set and EMOA Behavior for Simple Multimodal Multiobjective Functions.
Proceedings of the Parallel Problem Solving from Nature, 2006

Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations.
Proceedings of the Hybrid Metaheuristics, Third International Workshop, 2006

Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2006

2005
Counteracting genetic drift and disruptive recombination in (µ<sub>, </sub><sup>+</sup>lambda)-EA on multimodal fitness landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Sequential parameter optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
On the Extinction of Evolutionary Algorithm Subpopulations on Multimodal Landscapes.
Informatica (Slovenia), 2004

On the Importance of Information Speed in Structured Populations.
Proceedings of the Parallel Problem Solving from Nature, 2004

2002
Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment.
Proceedings of the Parallel Problem Solving from Nature, 2002

A Framework for Distributed Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2002

On Obtaining Global Information in a Peer-to-Peer Fully Distributed Environment (Research Note).
Proceedings of the Euro-Par 2002, 2002

Maintaining Connectivity in a Scalable and Robust Distributed Environment.
Proceedings of the 2nd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2002), 2002


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