A heuristic stochastic dynamic programming method for discrete particle swarm optimizer system

This paper presents a study of dynamic optimal control for a stochastic PSO system. Initially, the PSO system is treated as a discrete-time stochastic system considering the effect of random parameters. And then, under system convergence conditions, dynamic optimal control for the stochastic PSO sys...

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Vydáno v:2009 International Conference on Networking, Sensing and Control s. 519 - 524
Hlavní autoři: Qi Kang, Jing An, Lei Wang, Qidi Wu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.03.2009
Témata:
Convergence
Dynamic programming
Nonlinear dynamical systems
Numerical simulation
Optimal control
Optimization methods
Particle swarm optimization
Power system simulation
Space technology
Stochastic systems
ISBN:9781424434916, 1424434912
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Shrnutí:This paper presents a study of dynamic optimal control for a stochastic PSO system. Initially, the PSO system is treated as a discrete-time stochastic system considering the effect of random parameters. And then, under system convergence conditions, dynamic optimal control for the stochastic PSO system is studied for parameters optimization using dynamic programming integrating with swarm intelligence; and an approximate stochastic dynamic programming algorithm- heuristic stochastic dynamic programming (HSDP) is proposed in this paper. Finally, numerical simulations proved the validated of this presented dynamic optimization method.
ISBN:9781424434916
1424434912
DOI:10.1109/ICNSC.2009.4919330