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Unified Particle Swarm Optimization in Dynamic Environments [chapter]

K. E. Parsopoulos, M. N. Vrahatis
2005 Lecture Notes in Computer Science  
A first investigation of the recently proposed Unified Particle Swarm Optimization algorithm on dynamic environments is provided and discussed on widely used test problems.  ...  Results are very promising compared to the corresponding results of the standard Particle Swarm Optimization algorithm, indicating the superiority of the new scheme.  ...  Unified Particle Swarm Optimization PSO was introduced by Eberhart and Kennedy [1, 14] .  ... 
doi:10.1007/978-3-540-32003-6_62 fatcat:6cej2cswlrgyxbihily3lto2sm

Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems [chapter]

K. E. Parsopoulos, M. N. Vrahatis
2005 Lecture Notes in Computer Science  
We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems.  ...  Comparisons with the standard local and global variant of Particle Swarm Optimization are reported and discussed.  ...  Unified Particle Swarm Optimization PSO is a stochastic, population-based algorithm for solving optimization problems.  ... 
doi:10.1007/11539902_71 fatcat:hbx7e5ccxraq3d6xuj4qguwt7q

Suppression of Chaotic Behavior in Duffing-holmes System using Back-stepping Controller Optimized by Unified Particle Swarm Optimization Algorithm

R. Gholipour
2013 International Journal of Engineering  
In this paper, the Unified particle swarm optimization (UPSO) algorithm is utilized to determine the convenient and optimal values of the parameters.  ...  The nonlinear behavior analysis and chaos control for Duffing-Holmes chaotic system is discussed in this paper.  ...  Particle Swarm Optimization (PSO) is a swarm intelligence algorithm that is used mainly for numerical optimization tasks [15] .  ... 
doi:10.5829/idosi.ije.2013.26.11b.05 fatcat:rq3ftabt4bfb5niydg5sqvlava

Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling

Sheng Chen, Xia Hong, Chris J Harris
2010 IEEE Transactions on Evolutionary Computation  
A particle swarm optimization (PSO) aided orthogonal forward regression (OFR) algorithm based on leaveone-out (LOO) criteria is developed to construct parsimonious radial basis function (RBF) networks  ...  We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density function estimation.  ...  This paper proposes a particle swarm optimization (PSO) aided OFR algorithm to construct tunable-node RBF models for unified data modeling that includes regression, classification, and density estimation  ... 
doi:10.1109/tevc.2009.2035921 fatcat:tejbj7fwxbbkjepmvct73aagke

A Decomposition-Based Unified Evolutionary Algorithm for Many-Objective Problems Using Particle Swarm Optimization

Anqi Pan, Hongjun Tian, Lei Wang, Qidi Wu
2016 Mathematical Problems in Engineering  
In this paper we propose an algorithm for many-objective optimization with particle swarm optimization as the underlying metaheuristic technique.  ...  The proposed algorithm consists of inner and outer evolutionary processes, together with adaptive factor μ, to maintain convergence and diversity.  ...  particle swarm optimization.  ... 
doi:10.1155/2016/6761545 fatcat:b3dlkwpuznf6jg3g6i3bp7x26u

Particle Swarms Reformulated towards a Unified and Flexible Framework [article]

Mauro Sebastián Innocente
2021 arXiv   pre-print
The Particle Swarm Optimisation (PSO) algorithm has undergone countless modifications and adaptations since its original formulation in 1995.  ...  Therefore, different versions of the method may be posed as settings within the proposed unified framework.  ...  An analysis of the trajectory closed-forms shows that the magnitude of the dominant root r = max ( r 1 , r 2 ) controls convergence.  ... 
arXiv:2104.12475v1 fatcat:u54c6qzsmzcv7b65hhtwvzq3j4

Unified Particle Swarm Optimization Based Distributed Generation Placement in Radial Power Systems

Dhanavijayan Ramakrishnan, Sudhakar Pushparajan
2018 International Journal of Intelligent Engineering and Systems  
swarm optimization, and parameter improved particle swarm optimization.  ...  particle swarm optimization algorithm.  ...  Unified particle swarm optimization algorithm (UPSO) PSO technique is fundamentally admonished from the behavioral attributes of natural drift developed individual in bird flocking or fish schooling.  ... 
doi:10.22266/ijies2018.0228.11 fatcat:jwfplndjf5ccdcvsn35jklnsu4

Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem [chapter]

K. E. Parsopoulos, M. N. Vrahatis
2006 Lecture Notes in Computer Science  
This paper constitutes a first study of the recently proposed Unified Particle Swarm Optimization algorithm on scheduling problems.  ...  More specifically, the Single Machine Total Weighted Tardiness problem is considered, and tackled through a scheme that combines Unified Particle Swarm Optimization and the Smallest Position Value technique  ...  Unified Particle Swarm Optimization (UPSO) was recently introduced as a unified PSO scheme that combines the exploration and exploitation properties of different PSO variants [11] .  ... 
doi:10.1007/11941439_80 fatcat:rt4swzwfavckhf2wgvft53yzky

A novel unified maximum power extraction framework for PMSG based WECS using chaotic particle swarm optimization derivatives

Emre Hasan Dursun, Hasan Koyuncu, Ahmet Afsin Kulaksiz
2020 Engineering Science and Technology, an International Journal  
These frameworks consist of a fast terminal sliding mode control (FTSMC) based MPPT controller and a hybrid MPPT approach that combines chaotic based particle swarm optimization (PSO) derivatives and optimal  ...  In this study, maximum power extraction frameworks operating the state-of-the-art optimization methods are presented for permanent magnet synchronous generator (PMSG) based WECS.  ...  There exists various strategies of particle swarm optimization (PSO) considering different derivatives to provide better convergence than other techniques.  ... 
doi:10.1016/j.jestch.2020.05.005 fatcat:6crsczwzorawtfuulyye7dsomi

Evaluation of integrated differential evolution and unified bare-bones particle swarm optimization for phase equilibrium and stability problems

Haibo Zhang, Jorge Adán Fernández-Vargas, Gade Pandu Rangaiah, Adrián Bonilla-Petriciolet, Juan Gabriel Segovia-Hernández
2011 Fluid Phase Equilibria  
In this study, we introduce three global optimization algorithms developed by our group for phase and chemical equilibrium calculations, namely, unified bare-bones particle swarm optimization (UBBPSO),  ...  Phase equilibrium calculations and phase stability analysis play a significant role in the simulation, design and optimization of separation processes in chemical engineering.  ...  In order to overcome such difficulties, this work evaluates three global optimization algorithms (unified bare-bones particle swarm optimization, UBBPSO; integrated differential evolution, IDE; IDE without  ... 
doi:10.1016/j.fluid.2011.08.002 fatcat:3dobseyesbhmtcuuiyzyl4vgke

A particle-swarm-based approach of power system stability enhancement with unified power flow controller

Ali T. Al-Awami, Y.L. Abdel-Magid, M.A. Abido
2007 International Journal of Electrical Power & Energy Systems  
Individual designs of the UPFC controllers and power system stabilizer (PSS) using particle-swarm optimization (PSO) technique are discussed.  ...  The use of the supplementary controllers of a unified power flow controller (UPFC) to damp low frequency oscillations in a weakly connected system is investigated.  ...  Particle-swarm optimizer Overview A novel population based optimization approach, called Particle-Swarm Optimization (PSO) approach, was introduced first in [31] .  ... 
doi:10.1016/j.ijepes.2006.07.006 fatcat:doiqyqq2czejxptwirp4n4b4za

Multiobjective Lightning Flash Algorithm Design and Its Convergence Analysis via Martingale Theory

Jiandong Duan, Jing Wang, Xinghua Liu, Gaoxi Xiao, Danilo Comminiello
2020 Complexity  
Since the convergence analysis of MOLFA is to investigate whether a Pareto optimal solution can be reached when the optimal charge population state is obtained, the development of a charge population state  ...  Based on the martingale theory, the MOLFA convergence analysis is carried out in terms of the supermartingale convergence theorem, which shows that the MOLFA can reach the global optimum with probability  ...  Since most of problems need to optimize two or more objectives simultaneously, the multiobjective optimization algorithm is increasingly prevalent, such as multiple objective particle swarm optimization  ... 
doi:10.1155/2020/8451639 fatcat:d2zjrg7cqndz3jcah34aaawuv4

Unified particle swarm optimization for tackling operations research problems

K.E. Parsopoulos, M.N. Vrahatis
Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005.  
We investigate the performance of the recently proposed Unified Particle Swarm Optimization algorithm on two categories of operations research problems, namely minimax and integer programming problems.  ...  Conclusions regarding the ability of the Unified Particle Swarm Optimization method to tackle operations research problems as well as on the performance of each variant are derived and discussed. is called  ...  UNIFIED PARTICLE SWARM OPTIMIZATION PSO is the most common swarm intelligence algorithm for numerical optimization tasks.  ... 
doi:10.1109/sis.2005.1501602 dblp:conf/swis/ParsopoulosV05 fatcat:gh7q3pdejzajtionwh6bb3bnsa

A Survey on Particle Swarm Optimization Algorithms for Multimodal Function Optimization

Yu Liu, Xiaoxi Ling, Zhewen Shi, Mingwei LV, Jing Fang, Liang Zhang
2011 Journal of Software  
Moreover, most of existing multimodal particle swarm optimization algorithms which include SPSO, MSPSO, ESPSO, ANPSO, kPSO, MGPSO, AT-MGPSO, rpso, and SDD-PSO were described and compared and advantages  ...  A comprehensive review of the existing works done in the field of multimodal function optimization was given and a critical analysis of the existing methods was also provided.  ...  MULTIMODAL PARTICLE SWARM OPTIMIZATION Particle Swarm Optimizer (PSO) [16] is an evolutionary algorithm proposed by Kennedy and Eberhart in 1995.  ... 
doi:10.4304/jsw.6.12.2449-2455 fatcat:vu3gqkp2hbaoznjp2u5kadn5mu

A Particle Swarm Optimizer for Constrained Numerical Optimization [chapter]

Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello
2006 Lecture Notes in Computer Science  
This paper presents a particle swarm optimizer to solve constrained optimization problems.  ...  Our results indicate that the proposed scheme is a promising alternative to solve constrained optimization problems using particle swarm optimization.  ...  [7] proposed a Unified Particle Swarm Optimization version and adapted it to handle constraints.  ... 
doi:10.1007/11844297_92 fatcat:hgm52daldrbxdc4qbzpcwoltua
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