Swarm-based approximate dynamic optimization process for discrete particle swarm optimization system
نویسندگان
چکیده
This paper presents a convergence analysis of particle swarm optimization system by treating it as a discrete-time linear time-variant system firstly. And then, based on the results of system convergence conditions, dynamic optimal control of a deterministic PSO system for parameters optimization is studied by using dynamic programming; and an approximate dynamic programming algorithm – swarm-based approximate dynamic programming (swarm-ADP) is proposed in this paper. Finally, numerical simulations proved the validated of this presented dynamic optimization method.
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ورودعنوان ژورنال:
- IJBIC
دوره 1 شماره
صفحات -
تاریخ انتشار 2009