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Tournament Particle Swarm Optimization

Willem H. Duminy, Andries P. Engelbrecht
2007 2007 IEEE Symposium on Computational Intelligence and Games  
This paper introduces Tournament Particle Swarm Optimization (PSO) as a method to optimize weights of game tree evaluation functions in a competitive environment using Particle Swarm Optimization.  ...  The empirical work presented compares the performance of different tournament methods that can be applied to the Tournament PSO, with application to Checkers.  ...  PARTICLE SWARM OPTIMIZATION Kennedy and Eberhart [2] introduce Particle Swarm Optimization (PSO) as an algorithm that searches through a multi-dimensional problem space for an optimal solution.  ... 
doi:10.1109/cig.2007.368091 dblp:conf/cig/DuminyE07 fatcat:qtyvsuxl7ngbxmtih6udgn37yy

CriPS: Critical Particle Swarm Optimisation

Adam Erskine, J. Michael Herrmann
2015 07/20/2015-07/24/2015  
The Critical Particle Swarm (CriPS) can be easily combined with many existing PSO extensions.  ...  Particle Swarm Optimisation (PSO) is a metaheuristic used to solve search tasks and is inspired by the flocking behaviour of birds.  ...  Particle swarm optimisation (PSO) is a metaheuristic method for obtaining solutions to optimisation problems (Kennedy and Eberhart, 1995) .  ... 
doi:10.7551/978-0-262-33027-5-ch041 dblp:conf/ecal/ErskineH15 fatcat:zxjpnsgauzeqxdveszblkcesdy

Particle Swarm Optimization Algorithm Based on Information Sharing in Industry 4.0

Xiaoyang Rao, Xuesong Yan, Kalidoss Rajakani
2022 Wireless Communications and Mobile Computing  
Particle swarm optimization (PSO) algorithm is an optimization algorithm inspired by the foraging behavior of birds.  ...  By analyzing the advantages and disadvantages of the traditional PSO algorithm, the traditional PSO algorithm is improved through introducing into the sharing information mechanism and the competition  ...  Mousavi et al. proposed a modified particle swarm optimization for solving the integrated location and inventory control problems in a twoechelon supply chain network.  ... 
doi:10.1155/2022/4328185 fatcat:hq4awiut6ndndoetzsqjruguyi

Optimal Placement of TCSC for Congestion Management using Modified Particle Swarm Optimization

Manasarani Mandala, C. P. Gupta
2014 International Journal of Computer Applications  
The comprehensive experimental results prove that the PSO-TVAC is one among the challenging optimization methods which is indeed capable of obtaining higher quality solutions for the proposed problem.  ...  Swarm optimization with Time Varying Acceleration Co-efficient (PSO-TVAC).  ...  In the simplest and original version of PSO, each member of the particle swarm is moved through a problem space by two elastic forces.  ... 
doi:10.5120/15400-4073 fatcat:nchqcvfqdfeebh2w7sok6xzmvu

Looking Inside Particle Swarm Optimization in Constrained Search Spaces [chapter]

Jorge Isacc Flores-Mendoza, Efrén Mezura-Montes
2008 Lecture Notes in Computer Science  
In this paper, the behavior of different Particle Swarm Optimization (PSO) variants is analyzed when solving a set of well-known numerical constrained optimization problems.  ...  Furthermore, the on-line behavior of the improved PSO and some of the most competitive original variants are studied.  ...  The parameter values for each PSO variant were defined as follows: 80 particles and 2000 generations (160,000 evaluations), c 1 = 2.7 and c 2 = 2.5 for all PSO variants, for the two local best variants  ... 
doi:10.1007/978-3-540-88636-5_43 fatcat:i3mec2ix7vb33at2l2zwb5kpda

Competitive Swarm Optimizer Based Gateway Deployment Algorithm in Cyber-Physical Systems

Shuqiang Huang, Ming Tao
2017 Sensors  
The particle swarm optimization (PSO) algorithm has a continuous search feature in the solution space, which makes it suitable for finding the geometric center of gateway deployment; however, its search  ...  To address the problem of connecting a wireless sensor network to the Internet in cyber-physical systems, here we propose a geometric gateway deployment based on a competitive swarm optimizer algorithm  ...  The pseudo code of the competitive swarm optimizer (CSO) algorithm (Alogorithm 1) is as follows: Algorithm 1 The Competitive Swarm Optimizer Algorithm 1: Initialize P(0), Maxgen; // P(t) is the swarm ingeneration  ... 
doi:10.3390/s17010209 pmid:28117735 pmcid:PMC5298780 fatcat:uvisxungvvdjtdldzvwib2uj5i

A Competitive Swarm Optimizer for Large Scale Optimization

Ran Cheng, Yaochu Jin
2015 IEEE Transactions on Cybernetics  
In this paper, a novel competitive swarm optimizer (CSO) for large scale optimization is proposed.  ...  The algorithm is fundamentally inspired by the particle swarm optimization (PSO) but conceptually very different.  ...  large swarm size is used for large scale optimization problems.  ... 
doi:10.1109/tcyb.2014.2322602 pmid:24860047 fatcat:a7l56vvbvrh2zktbmahi4kl2cy

Prediction of Evolution and Development Trend in Sports Industry Cluster Based on Particle Swarm Optimization

Rui Cong, Hailong Wang, Baiyuan Ding
2021 Scientific Programming  
For the sports enterprises in the cluster, they can obtain huge competitive advantages through enterprise agglomeration, thus obtaining better development and rich economic benefits.  ...  Therefore, in view of the limitation of the standard particle swarm optimization (PSO) algorithm, an improved particle swarm optimization algorithm-diaphragm particle swarm optimization (D-PSO) was proposed  ...  If the enterprises in the cluster are regarded as the particles in the particle swarm optimization algorithm and the location of the cluster is the location where the cluster has the greatest competitiveness  ... 
doi:10.1155/2021/7607623 fatcat:kpsxixzgvvhgpf2hqyo26cmsxm

Research on Multiple Particle Swarm Algorithm Based on Analysis of Scientific Materials

Hongwei Zhao, Jingjing Zhao, Abashe caleb tokan, L. Zhao, A. Xavior, J. Cai, L. You
2017 MATEC Web of Conferences  
The core thesis of MPSO (Multiple Particle Swarm Algorithm) is to improve the single population PSO to interactive multi-swarms, which is used to settle the problem of being trapped into local minima during  ...  The fourth step: for each particle, its historical optimal fitness value and the community or neighborhood experience the best location of the fitness value for comparison, if better, then it as the current  ...  competition in bacterial swarming.  ... 
doi:10.1051/matecconf/201710002050 fatcat:n7wsic7aejh25atma2bmhfwwtm

Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates

Zheping Yan, Chao Deng, Benyin Li, Jiajia Zhou
2014 Mathematical Problems in Engineering  
The proposed method is tested with a set of 10 standard optimization benchmark problems and the results are compared with those obtained through existing PSO algorithms,basic particle swarm optimization  ...  A novel improved particle swarm algorithm named competition particle swarm optimization (CPSO) is proposed to calibrate the Underwater Transponder coordinates.  ...  Considering those concerns, we propose a new strategy for the PSO concept. Competition Particle Swarm Optimization (CPSO).  ... 
doi:10.1155/2014/672412 fatcat:33yh3ykjcbcotcu6maxymlyzn4

Optimization-Based Evolutionary Data Mining Techniques for Structural Health Monitoring

Meisam Gordan, Zubaidah Binti Ismail, Hashim Abdul Razak, Khaled Ghaedi, Haider Hamad Ghayeb
2020 Journal of Civil Engineering and Construction  
Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Imperialist Competitive Algorithm (ICA) and Ant Colony Optimization (ACO).  ...  Therefore, various metaheuristic algorithms have been developed to solve a variety of engineering optimization problems in SHM.  ...  For instance, a two-stage damage identification method based on evidence fusion and improved particle swarm optimization was proposed by [54] .  ... 
doi:10.32732/jcec.2020.9.1.14 fatcat:c6kpx7z2zzgfnkemihm4yoea4u

Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization

Jorge Isacc Flores-Mendoza, Efren Mezura-Montes
2008 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)  
In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO).  ...  The algorithm is tested on a set of 13 well-known benchmark problems and the obtained performance is compared against some PSO variants and stateof-the-art approaches.  ...  FOR THE TWO PSO VARIANTS WITH CONSTRICTION FACTOR AND OUR MODIFIED PSO.  ... 
doi:10.1109/cec.2008.4631261 dblp:conf/cec/MendozaM08 fatcat:7hn4nsliizbvjl6w3ulldn3jl4

Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems [chapter]

Gonzalo Nápoles, Isel Grau, Rafael Bello
2012 Lecture Notes in Computer Science  
These results reveal that PSO-RSVN is a competitive and very promising approach for solving global optimization problems.  ...  For Schwefel function, HPSO-SA locates the best solutions; however, PSO-RSVN finds better approximations than the others.  ... 
doi:10.1007/978-3-642-32650-9_42 fatcat:amtngz6s35f6vegouoitcuer2i

Recent Advances in Particle Swarm Optimization for Large Scale Problems

Danping Yan, Yongzhong Lu
2018 Journal of Autonomous Intelligence  
As a branch of the swarm intelligence based algorithms, particle swarm optimization (PSO) for coping with large scale problems and its expansively diverse applications have been in rapid development over  ...  Up to date, how to develop new optimization algorithms for these large scale problems and how to expand the scalability of existing optimization algorithms have posed further challenges in the domain of  ...  Acknowledgments This work is in part supported by the Fundamental Research Funds for the Central Universities in China (HUST: 2016YXMS105).  ... 
doi:10.32629/jai.v1i1.15 fatcat:rqtausu6dbg4jksq62hwbhr3tu

Hybrid Particle Swarm – Evolutionary Algorithm for Search and Optimization [chapter]

Crina Grosan, Ajith Abraham, Sangyong Han, Alexander Gelbukh
2005 Lecture Notes in Computer Science  
Particle Swarm Optimization (PSO) technique has proved its ability to deal with very complicated optimization and search problems. Several variants of the original algorithm have been proposed.  ...  This paper proposes a novel hybrid PSO -evolutionary algorithm for solving the well known geometrical place problems. Finding the geometrical place could be sometimes a hard task.  ...  Through cooperation and competition among the potential solutions, these techniques often can find optima quickly when applied to complex optimization problems.  ... 
doi:10.1007/11579427_63 fatcat:c6pu35vg5ffevoilog62ezrh3u
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