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A low-power VHF transceiver for airborne SAR with enhanced buried object detection using chirped signal processing. [PDF]

Sci Rep
Siddik Y, Hussein KFA, Esmaiel H, El-Samie FEA, Mubarak AS.   +4 more
europepmc   +1 more source

Robust PMSM Speed Control for EV Traction Drives: A FOPSO-Optimized Hybrid Fuzzy Fractional-Order PI Strategy. [PDF]

Sensors (Basel)
Chiu CC, Mao WL, Tai FC.
europepmc   +1 more source

Improved many-objective particle swarm optimization based welding sequence optimization research. [PDF]

PLoS One
Dong L, Gu S, Dong J, Ji Q, Liu J.
europepmc   +1 more source

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Particle swarm optimization (PSO). A tutorial

Chemometrics and Intelligent Laboratory Systems, 2015
Abstract Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired by the collective behavior of social animals. In particle swarm optimization (PSO) the set of candidate solutions to the optimization problem is defined as a swarm of particles which may flow through the parameter space defining trajectories which are ...
Federico Marini, Beata Walczak
exaly   +3 more sources

Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm

IEEE Transactions on Evolutionary Computation, 2009
During the last decade, many variants of the original particle swarm optimization (PSO) algorithm have been proposed. In many cases, the difference between two variants can be seen as an algorithmic component being present in one variant but not in the other.
Marco Dorigo, Thomas Stützle, Mauro Birattari   +2 more
exaly   +3 more sources

Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem

Expert Systems With Applications, 2011
One of the most studied problems in the financial investment expert system is the intractability of portfolios. The non-linear constrained portfolio optimization problem with multi-objective functions cannot be efficiently solved using traditionally approaches.
Yi Wang, Kesheng Wang
exaly   +3 more sources

θ-PSO: a new strategy of particle swarm optimization

Journal of Zhejiang University: Science A, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shaojun Li, Li Shao-Jun
exaly   +2 more sources

PSO+: A new particle swarm optimization algorithm for constrained problems

Applied Soft Computing Journal, 2019
Abstract The Particle Swarm Optimization algorithm is a metaheuristic based on populations of individuals in which solution candidates evolve through simulation of a simplified model of social adaptation. By aggregating robustness, efficiency and simplicity, PSO has gained great popularity.
Manoela Kohler, Ricardo Tanscheit, Marley Vellasco   +2 more
exaly   +2 more sources

BNC-PSO: structure learning of Bayesian networks by Particle Swarm Optimization

Information Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M R Meybodi
exaly   +4 more sources

The gregarious particle swarm optimizer (G-PSO)

Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the help of only social knowledge. To avoid premature convergence of the swarm, the particles are re-initialized with a random velocity when stuck at a local minimum.
Battiti, Roberto, Pasupuleti, Srinivas
openaire   +2 more sources