AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence
IEEE Transactions on Emerging Topics in Computational Intelligence(2022)
摘要
This paper introduces AdaSwarm, a novel gradient-free optimizer which has similar or even better performance than the Adam optimizer adopted in neural networks. In order to support our proposed AdaSwarm, a novel Exponentially weighted Momentum Particle Swarm Optimizer (EMPSO), is proposed. The ability of AdaSwarm to tackle optimization problems is attributed to its capability to perform good gradi...
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关键词
Optimization,Particle swarm optimization,Artificial neural networks,Training,Search problems,Mathematical model,Deep learning
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