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Titlebook: Applications of Evolutionary Computation; EvoApplications 2012 Cecilia Chio,Alexandros Agapitos,Georgios N. Yanna Conference proceedings 20

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Accompaniment of Business Creationher increases performance. The datasets for evaluation are large intraday forex time series, specifically series from the EUR/USD, the USD/JPY and the EUR/JPY markets, and predictive models for two primary tasks per market are built: intraday return prediction and intraday volatility prediction.
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Small-World Optimization Applied to Job Scheduling on Grid Environments from a Multi-Objective Persp-II (NSGA-II) to evaluate the multi-objective properties and prove its reliability. Moreover, MOSWO has been compared with real schedulers, the Workload Management System (WMS) from gLite and the Deadline Budget Constraint (DBC) from Nimrod-G, improving their results.
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Evolving Seasonal Forecasting Models with Genetic Programming in the Context of Pricing Weather-Deritatistical time-series modelling. Empirical results suggest that GP is able to successfully induce seasonal forecasting models, and that autoregressive models compose a more stable unit of evolution in terms of generalisation performance for the three datasets investigated.
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https://doi.org/10.1007/978-3-642-29178-4data mining; genetic algorithm; multi-objective optimization; particle swarm optimization; support vecto
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