Daniel Lombraña Gonzalez

According to our database1, Daniel Lombraña Gonzalez authored at least 14 papers between 2007 and 2014.

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Bibliography

2014
Designing robust volunteer-based evolutionary algorithms.
Genetic Programming and Evolvable Machines, 2014

2013
Customizable execution environments for evolutionary computation using BOINC + virtualization.
Natural Computing, 2013

2012
Characterizing Fault-Tolerance in Evolutionary Algorithms.
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

2011
A Peer-to-Peer Approach to Genetic Programming.
Proceedings of the Genetic Programming - 14th European Conference, 2011

2010
Laser Dynamics Modelling and Simulation: An Application of Dynamic Load Balancing of Parallel Cellular Automata.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

Characterizing Fault-Tolerance of Genetic Algorithms in Desktop Grid Systems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2010

2009
Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization.
Proceedings of the 17th Euromicro International Conference on Parallel, 2009

Characterizing fault tolerance in genetic programming.
Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems, 2009

2007
On the Intrinsic Fault-Tolerance Nature of Parallel Genetic Programming.
Proceedings of the 15th Euromicro International Conference on Parallel, 2007

Is the island model fault tolerant?
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Is the island model fault tolerant?
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Dynamic populations and length evolution: key factors for analyzing fault tolerance on parallel genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Analyzing fault tolerance on parallel genetic programming by means of dynamic-size populations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007


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