activity
20172019
most citedParticle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives

522 citations · 558 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2019★ 1 cited

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5

Deep learning has solved a problem that as little as five years ago was thought by many to be intractable - the automatic recognition of patterns in data; and it can do so with acc…

cs.NE2018★ 4 cited

Chaotic Quantum Double Delta Swarm Algorithm using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

Quantum Double Delta Swarm (QDDS) Algorithm is a new metaheuristic algorithm inspired by the convergence mechanism to the center of potential generated within a single well of a sp…

cs.MA2018★ 1 cited

QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

In this paper a novel Quantum Double Delta Swarm (QDDS) algorithm modeled after the mechanism of convergence to the center of attractive potential field generated within a single w…

cs.NE2018

Learning to track on-the-fly using a particle filter with annealed- weighted QPSO modeled after a singular Dirac delta potential

Saptarshi Sengupta, Richard Alan Peters

This paper proposes an evolutionary Particle Filter with a memory guided proposal step size update and an improved, fully-connected Quantum-behaved Particle Swarm Optimization (QPS…

cs.NE2018★ 522 cited

Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has gained prominence in the last two decades due to its ease of application in unsupervised,…

cs.NE2017★ 30 cited

Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

Fuzzy clustering has become a widely used data mining technique and plays an important role in grouping, traversing and selectively using data for user specified applications. The…