A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce
作者： Pedro Fazenda , James McDermott , Una-May O’Reilly
DOI: 10.1007/978-3-642-29178-4_42
关键词: Computer science 、 Data processing 、 Large population 、 Service-oriented architecture 、 Implementation 、 Cloud computing 、 Service (systems architecture) 、 Evolutionary algorithm 、 Distributed computing
摘要: We discuss ongoing development of an evolutionary algorithm library to run on the cloud. relate how we have used Hadoop open-source MapReduce distributed data processing framework implement a single "island" with potentially very large population. The design generalizes beyond current, one-off kind implementations. It is in preparation for becoming modeling or optimization service oriented architecture tool designing new algorithms.
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sci-hub.st 参考文章(9)
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