Improved SPSA optimization algorithm requiring a single measurement per iteration | IEEE Conference Publication | IEEE Xplore

Improved SPSA optimization algorithm requiring a single measurement per iteration


Abstract:

The simultaneous perturbation stochastic approximation (SPSA) is a simple and effective optimization algorithm. It requires only two measurements of the objective functio...Show More

Abstract:

The simultaneous perturbation stochastic approximation (SPSA) is a simple and effective optimization algorithm. It requires only two measurements of the objective function per iteration regardless of the dimension of the objective function. A modified SPSA algorithms is presented in this research. It requires a single measurement of the objective function per iteration. Application of the proposed algorithm are presented as well as some simulation results.
Date of Conference: 10-13 May 2010
Date Added to IEEE Xplore: 18 October 2010
ISBN Information:
Conference Location: Kuala Lumpur, Malaysia

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