María Arsuaga-Ríos

Soft Comput., 2015

Multiobjective Small-World Optimization for Energy Saving in Grid Environments.

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[DOI]

Comput. J., 2015

2014

Swarm approach based on gravity for optimizing energy savings in grid systems.

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[DOI]

J. Heuristics, 2014

Energy optimization for task scheduling in distributed systems by an Artificial Bee Colony approach.

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[DOI]

Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

2013

Multi-objective Grid Scheduling.

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[DOI]

Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013

Meta-schedulers for grid computing based on multi-objective swarm algorithms.

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[DOI]

Appl. Soft Comput., 2013

A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.

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Proceedings of the Adaptive and Natural Computing Algorithms, 2013

2012

Multiobjective Optimization Comparison - MOSWO vs MOGSA - for Solving the Job Scheduling Problem in Grid Environments.

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[DOI]

Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012

Small-World Optimization Applied to Job Scheduling on Grid Environments from a Multi-Objective Perspective.

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[DOI]

Proceedings of the Applications of Evolutionary Computation, 2012

Multi-objective Firefly Algorithm for Energy Optimization in Grid Environments.

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[DOI]

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011

Multi-Objective Artificial Bee Colony for scheduling in Grid environments.

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[DOI]

Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

Evaluation of multiobjective swarm algorithms for grid scheduling.

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[DOI]