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On asynchronous parallelization of order-based GA over grid-enabled heterogenou...

Valente de Oliveira, JOSÉ; Baltazar, Sérgio; Daniel, Helder

In real-world applications, the runtime of genetic algorithms (GAs) can be computationally demanding, an issue that can be mitigated using parallelization. The study evaluates the parallelization of order-based GAs using the island model in an asynchronous heterogeneous computing environment. The island model allows for a considerable number of migration topologies. The study offers a systematic review of the s...


A file group data replication algorithm for data grids

Rahmani, Amir Masoud; Azari, Leila; Daniel, Helder

In recent years data grids have been deployed and grown in many scientific experiments and data centers. The deployment of such environments has allowed grid users to gain access to a large number of distributed data. Data replication is a key issue in a data grid and should be applied intelligently because it reduces data access time and bandwidth consumption for each grid site. Therefore this area will be ver...


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