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Newton’s second law based PSO for feature selection: Newtonian PSO
Journal of Intelligent & Fuzzy Systems, 2019High dimensional data have brobdingnagian number of features, but not all features are useful. Irrelevant and redundant features may even reduce the classification accuracy. Feature selection is a process of selecting a subset of relevant features to decrease the dimensionality of data.
Shikha Agarwal +2 more
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Edge-PSO: A recombination operator based PSO algorithm for solving TSP
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016We propose a novel approach for solving TSP using PSO, namely edge-PSO by intelligent use of the edge recombination Operator. We observed that the edge recombination operator which was originally proposed for Genetic Algorithm can be used as a velocity operator for Particle Swarm Optimization so as to direct the search effectively to better corners of ...
Vaisakh Shaj, P. M. Akhil, S. Asharaf
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International Journal of High Performance Systems Architecture, 2011
The particle swarm optimisation or PSO is a heuristic based on a population of individuals, in which the candidates for a solution of the problem at hand evolve through a simulation process of a social adaptation simplified model. Combining robustness, efficiency and simplicity, PSO has gained great popularity as many successful applications are ...
N.A. Rogé +3 more
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The particle swarm optimisation or PSO is a heuristic based on a population of individuals, in which the candidates for a solution of the problem at hand evolve through a simulation process of a social adaptation simplified model. Combining robustness, efficiency and simplicity, PSO has gained great popularity as many successful applications are ...
N.A. Rogé +3 more
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2005 IEEE Congress on Evolutionary Computation, 2005
This paper presents an attempt to transform PSO into a self-adaptive algorithm based on specific swarm-inspired operators. New features are introduced: spatial expansion intended to overcome premature convergence (an algorithm called improved PSO, IPSO) and auto-adaptation (an algorithm called adaptive PSO, APSO).
Mihaela Breaban, Henri Luchian
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This paper presents an attempt to transform PSO into a self-adaptive algorithm based on specific swarm-inspired operators. New features are introduced: spatial expansion intended to overcome premature convergence (an algorithm called improved PSO, IPSO) and auto-adaptation (an algorithm called adaptive PSO, APSO).
Mihaela Breaban, Henri Luchian
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19th Annual Computer Security Applications Conference, 2003. Proceedings., 2004
Peter G. Neumann, Richard J. Feiertag
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Peter G. Neumann, Richard J. Feiertag
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PSO-MoSR: a PSO-based multi-objective software remodularisation
International Journal of Bio-Inspired Computation, 2020Amarjeet Prajapati, Sanjeev Kumar
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Application of a hybrid PSO-GA optimization algorithm in determining pyrolysis kinetics of biomass
Fuel, 2022Junhui Gong, Chunjie Zhai
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Prediction of jacking force using PSO-BPNN and PSO-SVR algorithm in curved pipe roof
Tunnelling and Underground Space Technology, 2023Xin Feng, Baosong Ma
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Optimized PSO algorithm based on the simplicial algorithm of fixed point theory
Applied Intelligence, 2020Minglun Ren +2 more
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