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MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A survey of parallel distributed genetic algorithms
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A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization
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On Line Tutorial on Evolutionary Computation
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Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1007/978-3-662-03315-9openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1016/j.future.2006.10.008openalex-snapshot
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing
inferredcites →https://doi.org/10.1093/oso/9780195099713.001.0001openalex-snapshot
Evolutionary Algorithms in Theory and Practice
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Scalable multi-objective optimization test problems
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Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
inferredcites →https://doi.org/10.1109/spdp.1994.346184openalex-snapshot
Coarse-grain parallel genetic algorithms: categorization and new approach
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An analysis of the effects of population structure on scalable multiobjective optimization problems
inferredcites →https://doi.org/10.21276/ijre.2018.5.5.4openalex-snapshot
MapReduce: Simplified Data Processing on Large Cluster
What points at this work
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