Particle swarm optimization

Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is a Professor in Computer Science at the University of Pretoria, and serves as Head of the department. He also holds the position of South African Research Chair in Artificial Intelligence. His research interests include swarm intelligence, evolutionary computation, artificial neural networks, artificial immune systems, and the application of these Computational Intelligence paradigms to data mining, games, bioinformatics, finance, and difficult optimization problems. He is author of two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.

[1]  Andries Petrus Engelbrecht,et al.  A Convergence Proof for the Particle Swarm Optimiser , 2010, Fundam. Informaticae.

[2]  Rolf Wanka,et al.  Theoretical Analysis of Initial Particle Swarm Behavior , 2008, PPSN.

[3]  Riccardo Poli,et al.  Analysis of the publications on the applications of particle swarm optimisation , 2008 .

[4]  Andries Petrus Engelbrecht,et al.  Locating multiple optima using particle swarm optimization , 2007, Appl. Math. Comput..

[5]  James Kennedy,et al.  Defining a Standard for Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.

[6]  Hassan M. Emara,et al.  Clubs-based Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.

[7]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[8]  A. Carlisle.  Tracking Changing Extrema with Particle Swarm Optimizer , 2007 .

[9]  Byung-Il Koh,et al.  Parallel asynchronous particle swarm optimization , 2006, International journal for numerical methods in engineering.

[10]  Andries Petrus Engelbrecht,et al.  A study of particle swarm optimization particle trajectories , 2006, Inf. Sci..

[11]  J. Kennedy,et al.  Neighborhood topologies in fully informed and best-of-neighborhood particle swarms , 2003, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[12]  Albert Y. Zomaya.  Handbook of Nature-Inspired and Innovative Computing - Integrating Classical Models with Emerging Technologies , 2006 .

[13]  Andries Petrus Engelbrecht,et al.  Fundamentals of Computational Swarm Intelligence , 2005 .

[14]  T. Huang,et al.  Significance of neighborhood topologies for the reconstruction of microwave images using particle swarm optimization , 2005, 2005 Asia-Pacific Microwave Conference Proceedings.

[15]  Jose Basterrechea,et al.  Particle‐swarm optimization and its application to antenna far‐field‐pattern prediction from planar scanning , 2005 .

[16]  Luo Jian.  Research on the Parallel Simulation of Asynchronous Pattern of Particle Swarm Optimization , 2005 .

[17]  Andries Petrus Engelbrecht,et al.  A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[18]  José Neves,et al.  The fully informed particle swarm: simpler, maybe better , 2004, IEEE Transactions on Evolutionary Computation.

[19]  Saman K. Halgamuge,et al.  Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.

[20]  Lin Chen,et al.  Two-stage adaptive PMD compensation in a 10 Gbit/s optical communication system using particle swarm optimization algorithm , 2004 .

[21]  Ashraf M. Abdelbar,et al.  Swarm optimization with instinct-driven particles , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[22]  Xiao-Feng Xie,et al.  DEPSO: hybrid particle swarm with differential evolution operator , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[23]  Albert A. Groenwold,et al.  Sizing design of truss structures using particle swarms , 2003 .

[24]  José Neves,et al.  Watch thy neighbor or how the swarm can learn from its environment , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[25]  James Kennedy,et al.  Bare bones particle swarms , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[26]  Andries Petrus Engelbrecht,et al.  Using neighbourhoods with the guaranteed convergence PSO , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[27]  Hitoshi Iba,et al.  Particle swarm optimization with Gaussian mutation , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[28]  Gary B. Lamont,et al.  Visualizing particle swarm optimization - Gaussian particle swarm optimization , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[29]  Ioan Cristian Trelea,et al.  The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..

[30]  H. Fan.  A modification to particle swarm optimization algorithm , 2002 .

[31]  Ernesto Costa,et al.  An Empirical Comparison of Particle Swarm and Predator Prey Optimisation , 2002, AICS.

[32]  Thiemo Krink,et al.  The LifeCycle Model: Combining Particle Swarm Optimisation, Genetic Algorithms and HillClimbers , 2002, PPSN.

[33]  Jaroslaw Sobieszczanski-Sobieski,et al.  Multidisciplinary optimization of a transport aircraft wing using particle swarm optimization , 2002 .

[34]  Peter J. Bentley,et al.  Dynamic Search With Charged Swarms , 2002, GECCO.

[35]  Barbara Webb,et al.  Swarm Intelligence: From Natural to Artificial Systems , 2002, Connect. Sci..

[36]  J. Kennedy,et al.  Population structure and particle swarm performance , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[37]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[38]  Ac Ratnaweera,et al.  Particle swarm optimisation with time varying acceleration coefficients , 2002 .

[39]  Frans van den Bergh,et al.  An analysis of particle swarm optimizers , 2002 .

[40]  Thomas Kiel Rasmussen,et al.  Hybrid Particle Swarm Optimiser with breeding and subpopulations , 2001 .

[41]  Russell C. Eberhart,et al.  Tracking and optimizing dynamic systems with particle swarms , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[42]  K. Parsopoulos,et al.  Stretching technique for obtaining global minimizers through Particle Swarm Optimization , 2001 .

[43]  Michael N. Vrahatis,et al.  Modification of the Particle Swarm Optimizer for Locating All the Global Minima , 2001 .

[44]  B. Goodwin,et al.  Signs Of Life: How Complexity Pervades Biology , 2000 .

[45]  Andries Petrus Engelbrecht,et al.  Cooperative learning in neural networks using particle swarm optimizers , 2000, South Afr. Comput. J..

[46]  James Kennedy,et al.  Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[47]  P. Suganthan.  Particle swarm optimiser with neighbourhood operator , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[48]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[49]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[50]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[51]  Mitchel Resnick,et al.  Turtles, termites, and traffic jams - explorations in massively parallel microworlds , 1994 .

[52]  B. Latané,et al.  From private attitude to public opinion: A dynamic theory of social impact. , 1990 .

[53]  U. Grenander,et al.  A stochastic nonlinear model for coordinated bird flocks , 1990 .

[54]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[55]  William T. Reeves,et al.  Particle systems—a technique for modeling a class of fuzzy objects , 1983, International Conference on Computer Graphics and Interactive Techniques.