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Titlebook: Artificial Immune Systems; 6th International Co Leandro Nunes Castro,Fernando José Zuben,Helder Kn Conference proceedings 2007 Springer-Ver

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樓主: Harding
21#
發(fā)表于 2025-3-25 05:44:00 | 只看該作者
The Application of a Dendritic Cell Algorithm to a Robotic Classifierhe migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.
22#
發(fā)表于 2025-3-25 08:29:36 | 只看該作者
23#
發(fā)表于 2025-3-25 13:06:27 | 只看該作者
set respectively, and processes input strings using partial matching algorithm based on the state graph. The time complexity of this algorithm when processing an input string of length . is O(.). Experiments are carried out to make comparisons on the time and space costs between this new algorithm and the traditional negative selection algorithm.
24#
發(fā)表于 2025-3-25 16:27:26 | 只看該作者
A Gradient-Based Artificial Immune System Applied to Optimal Power Flow Problemsduring the hypermutation process, decreasing the number of generations and clones, and, consequently, speeding up the convergence process while reducing the computational time. Two applications illustrate the performance of the proposed method.
25#
發(fā)表于 2025-3-25 23:20:45 | 只看該作者
A Novel Fast Negative Selection Algorithm Enhanced by State Graphsset respectively, and processes input strings using partial matching algorithm based on the state graph. The time complexity of this algorithm when processing an input string of length . is O(.). Experiments are carried out to make comparisons on the time and space costs between this new algorithm and the traditional negative selection algorithm.
26#
發(fā)表于 2025-3-26 01:21:27 | 只看該作者
27#
發(fā)表于 2025-3-26 06:50:46 | 只看該作者
The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set incontain the most significative samples, without loosing much capability of generalization. It is known that in prediction problems, the choice of a good training set is crucial for the classification process. And this is the focus of this research. Experiments using some benchmarks and the analysis of the results of our ongoing work are presented.
28#
發(fā)表于 2025-3-26 10:26:51 | 只看該作者
29#
發(fā)表于 2025-3-26 15:28:50 | 只看該作者
30#
發(fā)表于 2025-3-26 17:26:29 | 只看該作者
On Immune Inspired Homeostasis for Electronic Systemsostatic engineered systems, through the development of an immune inspired extensible architecture. We outline the major requirements for such an architecture, and discuss issues that arise as a result and propose possible solutions: things are never as simple as they first appear.
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