Automatic control systems (5th ed.)
Automatic control systems (5th ed.)
Nonlinear systems analysis (2nd ed.)
Nonlinear systems analysis (2nd ed.)
Computational intelligence PC tools
Computational intelligence PC tools
Particle swarm optimization method in multiobjective problems
Proceedings of the 2002 ACM symposium on Applied computing
Digital Control Systems
Modern Control Engineering
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Adaptive particle swarm optimization: detection and response to dynamic systems
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Multiobjective optimization using dynamic neighborhood particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Brief paper: A swarm intelligence approach to the synthesis of two-dimensional IIR filters
Engineering Applications of Artificial Intelligence
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
The fully informed particle swarm: simpler, maybe better
IEEE Transactions on Evolutionary Computation
On the computation of all global minimizers through particle swarm optimization
IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation
Learning to play games using a PSO-based competitive learning approach
IEEE Transactions on Evolutionary Computation
An approach to multimodal biomedical image registration utilizing particle swarm optimization
IEEE Transactions on Evolutionary Computation
Stability analysis of the particle dynamics in particle swarm optimizer
IEEE Transactions on Evolutionary Computation
Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch
IEEE Transactions on Evolutionary Computation
ANN- and PSO-Based Synthesis of On-Chip Spiral Inductors for RF ICs
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Particle swarm intelligence for channel assignment problem in mobile cellular communication system
International Journal of Artificial Intelligence and Soft Computing
Engineering Applications of Artificial Intelligence
International Journal of Computing Science and Mathematics
Computational Optimization and Applications
An improved design optimisation algorithm based on swarm intelligence
International Journal of Computing Science and Mathematics
The optimal design of bellows using a novel discrete particle swarm optimisation algorithm
International Journal of Computing Science and Mathematics
An improved particle swarm optimisation based on cellular automata
International Journal of Computing Science and Mathematics
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The paper addresses the issues of parameter selection of a Particle Swarm Optimisation (PSO) algorithm by a thorough stability analysis of the swarm dynamics. The effectiveness of the work lies in considering the dynamic behaviour of the local best position of a given particle. The behaviour of an individual particle here is modelled as a closed loop control system, where the forward path describes the particle dynamics, and the feedback path adapts the local best position of the particle over the iterations of the algorithm. The stability analysis of the closed loop system is undertaken using Jury's test, and optimal parameter setting of the dynamics is performed by the root locus technique of the classical control theory.