On the moments of the sampling distribution of particle swarm optimisers
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Markov chain models of bare-bones particle swarm optimizers
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Dynamics and stability of the sampling distribution of particle swarm optimisers via moment analysis
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
The generalized PSO: a new door to PSO evolution
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
A novel particle swarm optimization for multiple campaigns assignment problem
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Optimization of power allocation for interference cancellation with particle swarm optimization
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Mean and variance of the sampling distribution of particle swarm optimizers during stagnation
IEEE Transactions on Evolutionary Computation
On stability of the chemotactic dynamics in bacterial-foraging optimization algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Improved particle swarm optimizer based on adaptive random learning approach
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Stability and l² gain analysis for the particle swarm optimization algorithm
ACC'09 Proceedings of the 2009 conference on American Control Conference
Adaptive particle swarm optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Analysis of particle interaction in particle swarm optimization
Theoretical Computer Science
Engineering Applications of Artificial Intelligence
Swarm-based approximate dynamic optimization process for discrete particle swarm optimization system
International Journal of Bio-Inspired Computation
Expert Systems with Applications: An International Journal
Parameter selection, analysis and evaluation of an improved particle swarm optimizer with leadership
Artificial Intelligence Review
Parameter selection of a Particle Swarm Optimisation dynamics by closed loop stability analysis
International Journal of Computing Science and Mathematics
Parallel computation models of particle swarm optimization implemented by multiple threads
Expert Systems with Applications: An International Journal
On convergence of the multi-objective particle swarm optimizers
Information Sciences: an International Journal
Following the leader - particle dynamics in constricted PSO
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Inter-particle communication and search-dynamics of lbest particle swarm optimizers: An analysis
Information Sciences: an International Journal
Comprehensive analysis for modified particle swarm optimisation with PD controllers
International Journal of Intelligent Information and Database Systems
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Convergence analysis and improvements of quantum-behaved particle swarm optimization
Information Sciences: an International Journal
Information Sciences: an International Journal
Convergence time analysis of particle swarm optimization based on particle interaction
Advances in Artificial Intelligence
A fuzzified systematic adjustment of the robotic Darwinian PSO
Robotics and Autonomous Systems
Biases in Particle Swarm Optimization
International Journal of Swarm Intelligence Research
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Previous stability analysis of the particle swarm optimizer was restricted to the assumption that all parameters are nonrandom, in effect a deterministic particle swarm optimizer. We analyze the stability of the particle dynamics without this restrictive assumption using Lyapunov stability analysis and the concept of passive systems. Sufficient conditions for stability are derived, and an illustrative example is given. Simulation results confirm the prediction from theory that stability of the particle dynamics requires increasing the maximum value of the random parameter when the inertia factor is reduced.