Titlebook: Applications of Evolutionary Computation; EvoApplications 2011 Cecilia Chio,Anthony Brabazon,A. Şima Uyar Conference proceedings 2011 Sprin

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Agricultural Environment Monitoringith their corresponding test sequences, is a time consuming task up to now mainly performed by hand. This paper proposes a new approach to automate this procedure exploiting a dedicated genetic algorithm.

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Dynamic Routing Exponent Strategies for Ant-Based Protocolsg exponent values. These stable single-route solutions correspond to paths that have the smallest hop count. In this paper, we leverage this idea to improve the performance of ant-based routing protocols by dynamically adjusting the routing exponent. The results are validated via simulation.

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Using Evolutionary Neural Networks to Test the Influence of the Choice of Numeraire on Financial Timint evolution of the topology and the connection weights together with a novel similarity-based crossover, to a couple of very liquid financial time series expressed in their trading currency and several alternative numeraires like gold, silver, and a currency like the euro, which is intended to be stable ‘by design’, and compare the results.

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Learning and Predicting Financial Time Series by Combining Natural Computation and Agent Simulationer for the simulator. Our experimentation on the DJIA time series shows the effectiveness of this approach in modeling financial data. Also we compare the predictions made by our system to those obtained by other approaches.

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Genetic Defect Based March Test Generation for SRAMith their corresponding test sequences, is a time consuming task up to now mainly performed by hand. This paper proposes a new approach to automate this procedure exploiting a dedicated genetic algorithm.

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