Joachim Lepping

Markus Kemmerling

Proceedings of the EVOLVE, 2013

Multi-criteria scheduling: an agent-based approach for expert knowledge integration.

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[DOI]

J. Sched., 2013

Combining Parallel Algorithms Solving the Same Application: What is the Best Approach?

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[DOI]

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Accelerating population-based search heuristics by adaptive resource allocation.

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[DOI]

Panayotis Mertikopoulos

Denis Trystram

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Knowledge discovery for scheduling in computational grids.

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[DOI]

Alexander Fölling

WIREs Data Mining Knowl. Discov., 2012

Parallel predator-prey interaction for evolutionary multi-objective optimization.

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[DOI]

Nat. Comput., 2012

An Approach to Instantly Use Single-Objective Results for Multi-objective Evolutionary Combinatorial Optimization.

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[DOI]

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

2011

Dezentrales grid scheduling mittels computational intelligence.

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[DOI]

PhD thesis, 2011

Connecting Community-Grids by supporting job negotiation with coevolutionary Fuzzy-Systems.

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[DOI]

Soft Comput., 2011

Integrating niching into the predator-prey model using epsilon-constraints.

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[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

An expertise-guided multi-criteria approach to scheduling problems.

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[DOI]

Markus Kemmerling

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolutionary Scheduling of Parallel Tasks Graphs onto Homogeneous Clusters.

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[DOI]

Sascha Hunold

Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

Combining basic heuristics for solving multi-objective scheduling problems.

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[DOI]

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Scheduling, 2011

2010

Robust Load Delegation in Service Grid Environments.

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[DOI]

IEEE Trans. Parallel Distributed Syst., 2010

Greedy scheduling with custom-made objectives.

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[DOI]

Ann. Oper. Res., 2010

The Gain of Resource Delegation in Distributed Computing Environments.

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[DOI]

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2010

Applying P2P Strategies to Scheduling in Decentralized Grid Computing Infrastructures.

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[DOI]

Jonathan Moreno Picon

Proceedings of the 39th International Conference on Parallel Processing, 2010

A hybrid Markov chain model for workload on parallel computers.

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[DOI]

Anne Krampe

Wiebke Sieben

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

2009

Competitive Coevolutionary Learning of Fuzzy Systems for Job Exchange in Computational Grids.

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[DOI]

Evol. Comput., 2009

Decentralized Grid Scheduling with Evolutionary Fuzzy Systems.

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[DOI]

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2009

Co-evolving fuzzy rule sets for job exchange in computational grids.

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[DOI]

Proceedings of the FUZZ-IEEE 2009, 2009

Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model.

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[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008

Development of scheduling strategies with Genetic Fuzzy systems.

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[DOI]

Appl. Soft Comput., 2008

The Parallel Predator-Prey Model: A Step towards Practical Application.

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[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2008

Discovering performance bounds for grid scheduling by using evolutionary multiobjective optimization.

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[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Towards A Standards-Based Grid Scheduling Architecture.

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[DOI]

Proceedings of the Grid Computing, 2008

Benefits of Job Exchange between Autonomous Sites in Decentralized Computational Grids.

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[DOI]

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.

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[DOI]

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.

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[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Genetic Fuzzy Systems applied to Online Job Scheduling.

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[DOI]

Proceedings of the FUZZ-IEEE 2007, 2007

Designing Multi-objective Variation Operators Using a Predator-Prey Approach.

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[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Greedy Scheduling with Complex Obejectives.

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[DOI]

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

2006

On Advantages of Scheduling Using Genetic Fuzzy Systems.

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[DOI]