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Titlebook: Computational Intelligence; 11th International J Juan Julián Merelo,Jonathan Garibaldi,Kurosh Madan Conference proceedings 2021 Springer Na

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發(fā)表于 2025-3-30 10:00:22 | 只看該作者
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發(fā)表于 2025-3-30 13:55:09 | 只看該作者
Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Testing. We provide more details on the process of building trend representative datasets, as well as, introduce a new PSO variant with a different approach to pruning. Results show that the new pruning procedure is capable of reducing solution length while not adversely affecting the quality of the solutions in a statistically significant manner.
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發(fā)表于 2025-3-30 19:57:02 | 只看該作者
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發(fā)表于 2025-3-30 22:46:53 | 只看該作者
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發(fā)表于 2025-3-31 05:51:38 | 只看該作者
https://doi.org/10.1007/978-981-99-0385-6edge about the possibilities and effectiveness of advanced genetic operators, the point mutation is usually the sole genetic operator when CGP is used. To improve the state of knowledge, this work is devoted to the investigation of the effectiveness of two phenotypic mutation techniques. takes anoth
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發(fā)表于 2025-3-31 12:23:08 | 只看該作者
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發(fā)表于 2025-3-31 16:30:09 | 只看該作者
Alternative Simulation Methods,rent risk measures are represented as weighted average value-at-risks with the most adapted risk spectrum derived from decision maker’s risk averse utility, and then the risk spectrum inherits the risk averse property of the decision maker’s utility as weighting. Risk-sensitive expected rewards are
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