How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge?

Swarm Intelligence Based Optimization - Lecture Notes in Computer Science ◽

10.1007/978-3-319-12970-9_11 ◽

2014 ◽

pp. 98-105

Author(s):

Bernd Bassimir ◽

Manuel Schmitt ◽

Rolf Wanka

Keyword(s):

Particle Swarms

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Multi-objective optimization algorithm based on dynamic multiple particle swarms

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.03375 ◽

2013 ◽

Vol 33 (12) ◽

pp. 3375-3379 ◽

Author(s):

Bin LIU ◽

Renjin ZHANG

Keyword(s):

Optimization Algorithm ◽

Multi Objective Optimization ◽

Particle Swarms ◽

Multi Objective ◽

Multiple Particle

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Physics of reacting particle swarms in gases

The Journal of Chemical Physics ◽

10.1063/1.451769 ◽

1986 ◽

Vol 85 (8) ◽

pp. 4486-4501 ◽

Author(s):

R. E. Robson

Keyword(s):

Particle Swarms

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Synchronization of chaotic systems using genetic and particle swarms algorithms

2016 8th International Conference on Modelling, Identification and Control (ICMIC) ◽

10.1109/icmic.2016.7804196 ◽

2016 ◽

Author(s):

Amel Terki ◽

Hamid Boubertakh ◽

Nora Mansouri

Keyword(s):

Chaotic Systems ◽

Particle Swarms

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Evacuation Entropy Particle Swarms Optimization (E-PSO) Evacuation Model Considering Panic Factors

2018 IEEE 4th International Conference on Control Science and Systems Engineering (ICCSSE) ◽

10.1109/ccsse.2018.8724787 ◽

2018 ◽

Author(s):

Tongtong Yu ◽

Jian Wang ◽

Zijun Zhao

Keyword(s):

Particle Swarms ◽

Evacuation Model

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Improving Local Convergence in Particle Swarms by Fitness Approximation Using Regression

Computational Intelligence in Expensive Optimization Problems - Evolutionary Learning and Optimization ◽

10.1007/978-3-642-10701-6_11 ◽

2010 ◽

pp. 265-293 ◽

Author(s):

Stefan Bird ◽

Xiaodong Li

Keyword(s):

Local Convergence ◽

Particle Swarms ◽

Fitness Approximation

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Theoretical and empirical study of particle swarms with additive stochasticity and different recombination operators

Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08 ◽

10.1145/1389095.1389109 ◽

2008 ◽

Author(s):

Jorge Peña

Keyword(s):

Empirical Study ◽

Particle Swarms

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Feature Selection with Particle Swarms

Computational and Information Science - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30497-5_66 ◽

2004 ◽

pp. 425-430 ◽

Author(s):

Yu Liu ◽

Zheng Qin ◽

Zenglin Xu ◽

Xingshi He

Keyword(s):

Feature Selection ◽

Particle Swarms

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Particle Swarms

Metaheuristics ◽

10.1007/978-3-319-45403-0_8 ◽

2016 ◽

pp. 203-228

Author(s):

Maurice Clerc

Keyword(s):

Particle Swarms

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Optimal-Transport-Based Control of Particle Swarms for Orbiting Rainbows Concept

Journal of Guidance Control and Dynamics ◽

10.2514/1.g006001 ◽

2021 ◽

pp. 1-10

Author(s):

Carlo Sinigaglia ◽

Saptarshi Bandyopadhyay ◽

Marco Quadrelli ◽

Francesco Braghin

Keyword(s):

Optimal Transport ◽

Particle Swarms

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Simple Dynamic Particle Swarms without Velocity

Ant Colony Optimization and Swarm Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87527-7_13 ◽

2008 ◽

pp. 144-154 ◽

Author(s):

Jorge Peña

Keyword(s):

Particle Swarms

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