27 citations · 41 across the 16 of their papers we have counts for
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cs.NE2021★ 1 cited
Fairly Constricted Multi-Objective Particle Swarm Optimization
Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj
It has been well documented that the use of exponentially-averaged momentum (EM) in particle swarm optimization (PSO) is advantageous over the vanilla PSO algorithm. In the single-…
cs.NE2020★ 27 cited
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence
Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello +3
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…