Based on the fundamental evaluation index system of intelligent optimization, a type of optimization dynamics evaluation mode for particle swarm algorithm is presented here. The mode is used for general optimization p...
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Based on the fundamental evaluation index system of intelligent optimization, a type of optimization dynamics evaluation mode for particle swarm algorithm is presented here. The mode is used for general optimization performance and particles'population dynamics. In the evaluation mode, primary indexes include optimum value, population dynamic aggregation, population center convergence and population diversity. Numerical optimization simulation based on several benchmarks is studied, and the typical population dynamic results of primary indexes show that the proposed optimization dynamics evaluation mode is effective.
Multi-task learning (MTL) is an important subject in machine learning and artificial intelligence. Its applications to computer vision, signal processing, and speech recognition are ubiquitous. Although this subject h...
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