Parameter Tuning in the Single-Solution Simulated Kalman Filter Optimizer

Abdul Aziz, Nor Hidayati
Ibrahim, Zuwairie
Ab Aziz, Nor Azlina
Muhammad, Badaruddin
Ab Rahman, Tasiransurini
Mohamad, Mohd Saberi
Rahmad, Suhazri Amrin

Open link

Publication date

January 2020

DOI

10.1007/978-981-13-9539-0_5

Publisher

Springer Science and Business Media LLC

Abstract

Single-solution simulated Kalman filter (ssSKF) is a variant of simulated Kalman filter (SKF) algorithm. Both algorithms employ the well-known Kalman filtering mechanism in an optimization process. Unlike the population-based SKF, the ssSKF operates using one agent. In this paper, parameter tuning of the ssSKF algorithm is presented

Extracted data

We use cookies to provide a better user experience.

Data Protection

Parameter Tuning in the Single-Solution Simulated Kalman Filter Optimizer

Abstract

Extracted data

Parameter Tuning in the Single-Solution Simulated Kalman Filter Optimizer

Abstract

Extracted data

Related items

Related items