Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
An Analysis of the Effects of Neighborhood Size and Shape on Local Selection Algorithms
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
A Template for Scatter Search and Path Relinking
AE '97 Selected Papers from the Third European Conference on Artificial Evolution
ParadisEO: A Framework for Parallel and Distributed Metaheuristics
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Scatter Search: Methodology and Implementations in C
Scatter Search: Methodology and Implementations in C
Distributed and Parallel Systems: Cluster and Grid Computing (Kluwer International Series in Engineering & Computer Science)
Grid computing for parallel bioinspired algorithms
Journal of Parallel and Distributed Computing - Special issue on parallel bioinspired algorithms
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
Recent Research Advances in e-Science
Cluster Computing
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Nuclear fusion is the next generation of energy, but many problems are still present in current nuclear fusion devices. Some of these problems can be solved by means of modeling tools. These tools usually require a large time to finish their computations and they also use a large number of parameters to represent the behaviour of nuclear fusion devices. Here, the possibility to introduce evolutionary algorithms (EAs) like genetic algorithms (GAs) or Scatter Search (SS) to look for optimised configurations offers a great solution for some of these problems. Since these applications require a high computational cost to perform their operations, the use of the grid arises as an ideal environment to carry out these tests. Because of the high complexity of the problems we are trying to optimise, the distributed paradigm as well as the number of computational resources of the grid represents an excellent alternative to carry out experiments to modelize and improve nuclear fusion devices by executing these tools. The results obtained clearly improve the configuration of existing devices.