Titlebook: Advances in Swarm Intelligence; 5th International Co Ying Tan,Yuhui Shi,Carlos A. Coello Coello Conference proceedings 2014 Springer Intern

形上升才刺激

Vibration Adaptive Anomaly Detection of Hydropower Unit in Variable Condition Based on Moving Least time detect the anomaly of hydropower unit vibration parameters. The results show that this model can effectively evaluate the performance of unit vibration, can more accurately detect the abnormal of unit vibration.

Postulate

Conference proceedings 2014 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and

不法行为

Semi-supervised Ant Evolutionary Classification. In our model, each ant colony sends its members to propagate its unique pheromone on the unlabeled instances. The unlabeled instances are treated as unlabeled ants. They are assigned to different ant colonies according to the pheromone that different colonies leave on it. Next, the natural selecti

微枝末节

glacial

者变

Tempor

Thyroid-Gland

A New Evolutionary Support Vector Machine with Application to Parkinson’s Disease Diagnosissuccessfully to Parkinson’s disease (PD) diagnosis. In the proposed BFO-SVM, the issue of parameter optimization in SVM is tackled using the BFO technique. The effectiveness of BFO-SVM has been rigorously evaluated against the PD Dataset. The experimental results demonstrate that the proposed approa

Crumple

Parallel Bees Swarm Optimization for Association Rules Mining Using GPU Architecturebeen successfully running on small and medium data size. Nevertheless, when dealing with large benchmark, it is bluntly blocked. Additionally, graphic processor units are massively threaded providing highly intensive computing and very usable by the optimization research community. The parallelizati

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