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A Simple Distributed Particle Swarm Optimization for Dynamic and Noisy Environments [chapter]

Xiaohui Cui, Jesse St. Charles, Thomas E. Potok
2009 Studies in Computational Intelligence  
In this paper, we present a Simple Distributed Particle Swarm Optimization (SDPSO) algorithm that can be used to track the optimal solution in a dynamic and noisy environment.  ...  The classic PSO algorithm lacks the ability to track changing optimum in a dynamic environment.  ...  A SDPSO for Dynamic and Noisy Environments A SDPSO for Dynamic and Noisy Environments A SDPSO for Dynamic and Noisy Environments  ... 
doi:10.1007/978-3-642-03211-0_8 fatcat:txujyc7jmjdfddkk5onporswyu

An evaporation mechanism for dynamic and noisy multimodal optimization

Jose Luis Fernandez-Marquez, Josep Lluis Arcos
2009 Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09  
Particle Swarm Optimization is a technique that presented a good behavior when dealing with noisy fitness functions. Nevertheless, the problem is still open.  ...  We will show how the evaporation mechanism does not require the detection of environment changes and how can be used for improving the performance of PSO algorithms working in noisy environments.  ...  The goal of this research is to propose a mechanism for improving the performance of PSO algorithms in dynamic and noisy environments.  ... 
doi:10.1145/1569901.1569905 dblp:conf/gecco/Fernandez-MarquezA09 fatcat:i6vzxi7qrvf6vgdm5yxdqsqsku

PARTICLE SWARM OPTIMIZATION FOR IMPRECISE PROBLEMS

K. E. PARSOPOULOS, M. N. VRAHATIS
2002 Scattering and Biomedical Engineering  
The Particle Swarm Optimization (PSO) technique has been developed by Eberhart and Kennedy in 1995 [11] and it is a simple evolutionary algorithm which differs from other evolutionary computation techniques  ...  SUMMARY In this paper the ability of the Particle Swarm Optimization technique to cope with noisy functions is discussed.  ...  The Particle Swarm Optimization (PSO) technique has been developed by Eberhart and Kennedy in 1995 [11] and it is a simple evolutionary algorithm which differs from other evolutionary computation techniques  ... 
doi:10.1142/9789812777140_0021 fatcat:goyihiqanza2xdfnvkeshvyrjy

Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment

Xiaohui Cui, Thomas E. Potok
2007 2007 IEEE International Parallel and Distributed Processing Symposium  
In this paper, we present a distributed adaptive PSO (DAPSO) algorithm that can be used to track a non-stationary optimal solution in a dynamically changing and noisy environment.  ...  In the real world, we have to frequently deal with searching and tracking an optimal solution in a dynamical and noisy environment.  ...  In this paper, we propose a Distributed Adaptive PSO (DAPSO) for searching and tracking the non-stationary optimum in a dynamically changing environment.  ... 
doi:10.1109/ipdps.2007.370434 dblp:conf/ipps/CuiP07 fatcat:45ogyjgmsbcglgujlvcqqqa524

Particle Swarms in Optimization and Control

Jelmer van Ast, Robert Babuška, Bart De Schutter
2008 IFAC Proceedings Volumes  
Particle Swarm Optimization has proven to be a very powerful optimization heuristic, and swarm aggregation based on artificial potential fields enjoys a growing interest for controlling particles in a  ...  In this contribution, we present an overview of the application of particle swarms for optimization and control of swarm aggregation.  ...  When analyzing large distributed systems, it is convenient to start with a simple model of the particle dynamics and their interaction.  ... 
doi:10.3182/20080706-5-kr-1001.00862 fatcat:qb4vkudxcrdjlodrviibhrudum

Particle Swarms: The Second Decade

Riccardo Poli, Jim Kennedy, Tim Blackwell, Alex Freitas
2008 Journal of Artificial Evolution and Applications  
Finally, we would like to thank EPSRC (Extended Particle Swarms project, GR/T11234/01) for financial support. Riccardo Poli Jim Kennedy Tim Blackwell Alex Freitas  ...  Cecilia Di Chio and Dan Bratton are also warmly thanked for their help with the local organisation of the GECCO workshop from which this special issue eventually emerged.  ...  In "Generating complete bifurcation diagrams using a dynamic environment particle swarm optimization algorithm," J.  ... 
doi:10.1155/2008/108972 fatcat:7f3uhnr2ufgbxcblo5vjnyru7q

An Advance Approach toward Sentiment Analysis using Swarm Intelligence

Miss. Riddhi Mandal
2021 International Journal for Research in Applied Science and Engineering Technology  
For maintaining and segregating data in a systematic way, sentiment analysis is being used which makes the task easier and helps to understand the data in a better way.  ...  There are millions of data over it which is non-hierarchical and need to store and use it for feedback and other usage.  ...  SWARM INTELLIGENCE The swarm is a large homogeneous, simple agent that interacts with their environment, as well as their environment, with no central control to allow a fascinating global character to  ... 
doi:10.22214/ijraset.2021.35228 fatcat:6mvdzp6ax5ekdlwonbfcvw7bo4

A clustering particle swarm optimizer for dynamic optimization

Changhe Li, Shengxiang Yang
2009 2009 IEEE Congress on Evolutionary Computation  
To achieve this, this paper proposes a clustering particle swarm optimizer (CPSO) for dynamic optimization problems.  ...  Particle swarm optimization (PSO) is a versatile population-based stochastic optimization technique.  ...  CONCLUSIONS The paper proposes a clustering particle swarm optimization (CPSO) algorithm for dynamic optimization problems.  ... 
doi:10.1109/cec.2009.4982979 dblp:conf/cec/LiY09a fatcat:smt2smnwarepnir35372b5kzh4

Particle Swarm Optimization-Based Source Seeking

Rui Zou, Vijay Kalivarapu, Eliot Winer, James Oliver, Sourabh Bhattacharya
2015 IEEE Transactions on Automation Science and Engineering  
The navigation strategy for the planner is based on Particle Swarm Optimization (PSO) which is a population-based stochastic optimization technique.  ...  "Particle swarm optimization-based source seeking. Abstract-Signal source seeking using autonomous vehicles is a complex problem.  ...  Authors of [23] and [24] apply stochastic approximation to the problem and enable the swarm to find the source in complex and noisy environment.  ... 
doi:10.1109/tase.2015.2441746 fatcat:xx2iodhs6nd6xpcjuhhdltvhdy

Tuning of Extended Kalman Filter for nonlinear State Estimation

Navreet Kaur, Amanpreet Kaur
2016 IOSR Journal of Computer Engineering  
In this paper, Particle Swarm Optimization has been proposed to tune the EKF parameters and then the simulations are implemented for permanent magnet synchronous motor.  ...  But for these estimation techniques, the tuning of process noise covariance and measurement noise covariance matrices is required.  ...  Amanpreet Kaur for her guidance to complete this research paper.  ... 
doi:10.9790/0661-1805041419 fatcat:caopctpt7zd2pan6zbwtecf2mi

Design of a Discrete Adaptive Equalizer for Noisy Channel using Quantum Behaved Particle Swarm Optimization Technique

Rashmi Sinha, Arvind Choubey
2016 Indian Journal of Science and Technology  
Objectives: In this paper, we propose to develop a discrete adaptive equalizer based on Quantum behaved Particle Swarm Optimization (QPSO) technique for noisy channel.  ...  A simple, yet efficient optimization algorithm QPSO which belongs to a class of bare-bones PSO family is employed for this purpose.  ...  In summary, QPSO comes out as a better option as compared toLMS, CIW-PSO and LDI-PSO at 5dB and 10dB which is supposedly a noisy environment.  ... 
doi:10.17485/ijst/2016/v9i41/100804 fatcat:4i3xtudm4zh5fgh6uszs3l3ivm

Particle Swarm Optimization Based Source Seeking [article]

Rui Zou, Vijay Kalivarapu, Eliot Winer, James Oliver, Sourabh Bhattacharya
2015 arXiv   pre-print
This paper addresses our work with seeking maximum signal strength in a continuous electromagnetic signal source with mobile robots, using Particle Swarm Optimization (PSO).  ...  Added to the fact that signal strength decays with distance, noisy environments make it extremely difficult to describe and model a decay function.  ...  Authors of [23] and [24] apply stochastic approximation to the problem and enable the swarm to find the source in complex and noisy environment.  ... 
arXiv:1501.06622v1 fatcat:erymiueoajfbdocehy4drxsqri

Vibration Based Structural Damage Detection Technique using Particle Swarm Optimization with Incremental Swarm Size

Bharadwaj Nanda, Damodar Maity, Dipak Kumar Maiti
2012 International Journal of Aeronautical and Space Sciences  
A comparison is made for assessing the performance of standard particle swarm optimization and the incremental particle swarm optimization technique for detecting crack in structural members.  ...  A simple and robust methodology is presented to determine the location and amount of crack in beam like structures based on the incremental particle swarm optimization technique.  ...  Overview of Particle Swarm Optimization The particle swarm optimization technique is a population based stochastic technique in nature, and primarily used to tackle continuous optimization problems.  ... 
doi:10.5139/ijass.2012.13.3.323 fatcat:itg7cxqt45axhdhhftv5kknqhu

Multiswarm Particle Filter for vision based SLAM

Hee Seok Lee, Kyoung Mu Lee
2009 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) and visual tracking.  ...  To solve this problem, we propose a new method to improve the efficiency of particle filters by employing the Particle Swarm Optimization (PSO), which is a kind of swarm intelligence algorithm.  ...  This research was supported in part by SAMSUNG THALES, and in part by the ITRC program of MKE/IITA through 3DRC (IITA-2008-C1090-0801-0018), Korea.  ... 
doi:10.1109/iros.2009.5354144 dblp:conf/iros/LeeL09a fatcat:ey35djhesjbmberiovyzmgbuii

Multiswarms, exclusion, and anti-convergence in dynamic environments

T. Blackwell, J. Branke
2006 IEEE Transactions on Evolutionary Computation  
Index Terms-Dynamic environments, genetic algorithms, optimization methods, particle swarm optimization (PSO).  ...  In this paper, we explore new variants of particle swarm optimization (PSO) specifically designed to work well in dynamic environments.  ...  Yao and the three anonymous referees for their helpful comments.  ... 
doi:10.1109/tevc.2005.857074 fatcat:n7j2k5nwqvcxhebsyg2uyicr54
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