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

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Learning and Predicting Financial Time Series by Combining Natural Computation and Agent Simulationtion can be used to functionally reproduce the structure of a financial market while the natural computation technique finds the most suitable parameter for the simulator. Our experimentation on the DJIA time series shows the effectiveness of this approach in modeling financial data. Also we compare
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On the Performance and Convergence Properties of Hybrid Intelligent Schemes: Application on Portfolim domains and their performance. One of their main characteristic is that they manage to escape getting trapped in local optima. In this study, two hybrid intelligent schemes are compared both in terms of performance and convergence ability in a complex financial problem. Particularly, both algorith
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Genetic Defect Based March Test Generation for SRAM structure of the memory. Exploring the effect of fabrication defects in future technologies, and identifying new classes of functional fault models with their corresponding test sequences, is a time consuming task up to now mainly performed by hand. This paper proposes a new approach to automate th
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Evolution of Test Programs Exploiting a FSM Processor Modelled with a combination of scan chains and Software-Based Self-Test (SBST) methodologies. Among SBST techniques, evolutionary feedback-based ones prove effective in microprocessor testing: their main disadvantage, however, is the considerable time required to generate suitable test programs..A novel
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Enhanced Reverse Engineering Using Genetic-Algorithms-Based Experimental Parallel Workflow for Optimic infeasibility of candidate designs, etc. It involves participation of numerical optimizers, computer- aided geometric modelers and subject-related simulators as well as their coupling at the process- and data levels. This paper develops a simple experimental workflow which employs existing commer
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ABBI and Site‐Select Devices, Breastave used a real-world topology, the Nippon Telegraph and Telephone (NTT, Japan) network and six sets of demands. After performing several comparisons with other approaches published in the literature, we can conclude that this algorithm outperforms the results obtained by other authors.
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