522 citations · 558 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
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,…
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…