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2012 IEEE CIS Awards [Society Briefs]

James Keller
2011 IEEE Computational Intelligence Magazine  
He has created models where humans participate with computational particles in the swarm and has presented particle swarm ideas to the world of management, where they can be applied to human organizations  ...  His investigations into swarm communication topology resulted in insights into the holistic properties of the population, and especially revealed the interdependence between the individual particle's programmed  ... 
doi:10.1109/mci.2011.942575 fatcat:7d3gzkb6jfdbtf2t5uiyoojd3i

A Multiswarm Optimizer for Distributed Decision Making in Virtual Enterprise Risk Management

Yichuan Shao, Xingjia Yao, Liwei Tian, Hanning Chen
2012 Discrete Dynamics in Nature and Society  
With the hierarchical interaction topology, a suitable diversity in the whole population can be maintained.  ...  We develop an optimization model for risk management in a virtual enterprise environment based on a novel multiswarm particle swarm optimizer called PS2O.  ...  With the hierarchical interaction topology, a suitable diversity in the whole population can be maintained.  ... 
doi:10.1155/2012/904815 fatcat:j3qsc4rs5ncy7mstcinujvipw4

Artificial Societies and Social Simulation Using Ant Colony, Particle Swarm Optimization and Cultural Algorithms [chapter]

Alberto Ochoa, Arturo Hernndez, Laura Cruz, Julio Ponce, Fernando Montes, Liang Li, Lenka Janacek
2010 New Achievements in Evolutionary Computation  
The Particle Swarm Optimization (PSO) algorithm is a population-based optimization technique inspired by the motion of a bird flock (Kennedy, J. & Eberhart R., 1995) .  ...  The star topology is, in fact, one big neighborhood where every particle is connected to each other, thus enabling the computation of a global best.  ...  Artificial Societies and Social Simulation Using Ant Colony, Particle Swarm Optimization and Cultural Algorithms, New Achievements in Evolutionary Computation, Peter Korosec (Ed.), ISBN: 978-953-307-053  ... 
doi:10.5772/8058 fatcat:crckzn4qnvezncfcbxhydohxuu

Particle swarm optimization of high-frequency transformer

Hengsi Qin, Jonathan W. Kimball, Ganesh K. Venayagamoorthy
2010 IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society  
A hybrid of particle swarm optimization (PSO) and differential evolution (DE) is proposed to solve this multi-objective problem with constraints.  ...  A high frequency transformer is a critical component in a dual active bridge converter (DAB) used in a power electronics-based solid state transformer.  ...  What is more, a successful design is constrained by the available core area and window area of a given magnetic core. All of these make the transformer design for a DAB converter a complex problem.  ... 
doi:10.1109/iecon.2010.5674932 fatcat:vhsgwmmwdndnlpck2xyf5vawpy

Lifecycle-Based Swarm Optimization Method for Numerical Optimization

Hai Shen, Yunlong Zhu, Xiaodan Liang
2014 Discrete Dynamics in Nature and Society  
In addition, the spatial distribution of initialization population meets clumped distribution.  ...  Inspired by biological lifecycle, this paper presents a novel optimization algorithm called lifecycle-based swarm optimization (LSO).  ...  of global and local topology particle swarm algorithm.  ... 
doi:10.1155/2014/892914 fatcat:pryhhrz4szdsxg2bbcy2j463me

Particle swarm optimization with an oscillating inertia weight

Kyriakos Kentzoglanakis, Matthew Poole
2009 Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09  
In this paper, we propose an alternative strategy of adapting the inertia weight parameter during the course of particle swarm optimization.  ...  n = 1.2 Linearly increasing ω [22] lin inc where U (a, b) a random number drawn from a uniform distibution in [a, b].  ...  In what is referred to as a global best (gbest) topology, this neighborhood comprises the entire swarm population, while in a local best (lbest) topology, the swarm forms a ring lattice and each particle  ... 
doi:10.1145/1569901.1570140 dblp:conf/gecco/KentzoglanakisP09 fatcat:vf6bdrg6bzdylk6xpnpmw7nppu

Maximum likelihood methods in biology revisited with tools of computational intelligence

John Seiffertt, Andrew Vanbrunt, Donald C. Wunsch
2008 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Abstract² We investigate the problem of identification of genes correlated with the occurrence of diseases in a given population.  ...  We outline the details of this algorithm, called Particle Swarm Optimization, and present all the equations and parameter values we used to accomplish our optimization.  ...  We use a ring topology where gbest is calculated based on the closest 6 particles, and set the swarm size to 30 particles.  ... 
doi:10.1109/iembs.2008.4649683 pmid:19163186 fatcat:xtx4ja7bgfbnxgnrpzyh3kzplm

A Particle Swarm Optimization for Terminal Resistor Matching

Jiang-feng NAN, Jin-rui NAN, Xiao-lin XU
2019 DEStech Transactions on Environment Energy and Earth Science  
In this paper, a particle swarm optimization based on the joint simulation of Saber and MATLAB is proposed to address this problem.  ...  Then, we establish a network topology model of CAN bus in Saber, and combine saber and MATLAB.  ...  The particles in the population combine their own experience with the experience of other particles in the population.  ... 
doi:10.12783/dteees/iceee2018/27771 fatcat:rqljji7kkvfkze5qxz7bkfzhkm

Type III Societies (Apparently) Do Not Exist [article]

Brian C. Lacki
2016 arXiv   pre-print
I show that there is enough material in galaxies to build blackboxes if the dust is fashioned into dipole antennas. The thermal emission of a blackbox makes it a bright microwave source.  ...  I argue that Type III societies can take the form of blackboxes, entire galaxies veiled in an opaque screen. A blackbox has a temperature that is just above that of the cosmic microwave background.  ...  In this sense, even a Type III society may face similar problems as our own, with what we might call war and pollution, but more generally positive feedback.  ... 
arXiv:1604.07844v1 fatcat:6csrnfqeonfodmmv5yfriet6he

How to build and use agent-based models in social science

Nigel Gilbert, Pietro Terna
2000 Mind & Society  
With computer simulations, in contrast to other methods, it is possible to formalise complex theories about processes, carry out experiments and observe the occurrence of emergence.  ...  It is proposed that agent-based models have potential as a 'third way' of carrying out social science, in addition to argumentation and formalisation.  ...  For example, with a GA model, it is possible to have a whole population within each agent.  ... 
doi:10.1007/bf02512229 fatcat:4q4r6fxj2ndqnmu26dt7paafvq

Taking advantage of hybrid bioinspired intelligent algorithm with decoupled extended Kalman filter for optimizing growing and pruning radial basis function network

Zhilei Chai, Wei Song, Qinxin Bao, Feng Ding, Fei Liu
2018 Royal Society Open Science  
What is more, our method via DEKF achieves the better results in comparison with the state-of-art sequential learning algorithms, such as GAP-RBF, minimal resource allocation network, resource allocation  ...  Specifically, the excellent local convergence of particle swarm optimization (PSO) and the extensive search ability of genetic algorithm (GA) are both considered to optimize the weights and bias term of  ...  The authors thank the editors and the reviewers for their very helpful comments, which led to the better presentation of the ideas proposed in this manuscript.  ... 
doi:10.1098/rsos.180529 pmid:30839667 pmcid:PMC6170552 fatcat:tgbtianan5fxxabbnazvdlkjza

Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review

Mohammad Reza Bonyadi, Zbigniew Michalewicz
2017 Evolutionary Computation  
This paper reviews recent studies on the Particle Swarm Optimization (PSO) algorithm. The review has been focused on high impact recent articles that have analyzed and/or modified PSO algorithms.  ...  Topology The concept of topology in PSO was taken from social psychology, the science of how people behave in a society.  ...  MLPSO was further enhanced in with a time-adaptive topology rather than a multi-swarm strategy.  ... 
doi:10.1162/evco_r_00180 pmid:26953883 fatcat:h62446l4cbgflbtzmcwvwjf7ty

IEEE Robotics & Automation Society

2011 IEEE robotics & automation magazine  
combine decentralized processing with optimal centralized decision making.  ...  A model of interaction using this queue of actions is developed and presented with experiments.  ... 
doi:10.1109/mra.2011.943480 fatcat:d2wvloyv6jcbzp2yathd52mx2u

[IEEE Robotics & Automation Society]

2012 IEEE robotics & automation magazine  
combine decentralized processing with optimal centralized decision making.  ...  A model of interaction using this queue of actions is developed and presented with experiments.  ... 
doi:10.1109/mra.2012.2229854 fatcat:rjrxtwk4jbcgjpvjdad6mougsq

A Reflective Swarm Intelligence Algorithm

Blamah Nachamada
2013 IOSR Journal of Computer Engineering  
They are made up of groups of swarms that interact with one another in the search effort within their environment.  ...  A reflective SI algorithm is presented, where members of the swarm are able to reflect backward to reconsider historic actions in order to adjust their search behaviors and stick to better results, which  ...  Variant of the PSO (Parpinelli and Lopes, 2011) shows that population can grow or shrink, which means in reality, the particles in a swarm, within each iteration, can communicate with any number of particles  ... 
doi:10.9790/0661-1444448 fatcat:w2o56bp37fc7bjjtunnyzi6wtu
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