Moving Towards Big Data Scalability with the Grammatical Evolution System
|Title:||Moving Towards Big Data Scalability with the Grammatical Evolution System||Authors:||Nicolau, Miguel||Permanent link:||http://hdl.handle.net/10197/8186||Date:||15-Jul-2015||Abstract:||The increasing presence of connected computing devices presents a formidable opportunity for the scalability of GP-like systems. In this work, we propose and partially implement a framework to deploy one such system, Grammatical Evolution, across a highly heterogeneous, asynchronous network of computing devices. We work towards a system combining the dynamic nature of such a network with the inherent adaptability of evolutionary systems. Early experiments are designed, using the open-source million song dataset.||Type of material:||Conference Publication||Keywords:||Grammatical evolution; Evolutionary systems; Big Data||Language:||en||Status of Item:||Not peer reviewed||Conference Details:||27th European Conference on Operational Research (EURO 2015) Glasgow, Scotland, 12-15 July|
|Appears in Collections:||Business Research Collection|
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