An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer

An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer

This paper presents an analysis of simulated Kalman filter (SKF) optimization algorithm. The SKF algorithm is a population-based optimization algorithm and thus, requires the use of agents to perform a search process. In optimization, usually, different number of agent produces different performance...

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Main Authors: Nor Hidayati, Abdul Aziz, Nor Azlina, Ab. Aziz, Mohd Falfazli, Mat Jusof, Saifudin, Razali, Zuwairie, Ibrahim, Asrul, Adam, Mohd Ibrahim, Shapiai
Format: Conference or Workshop Item
Language:English
Published: IEEE 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/21376/
http://umpir.ump.edu.my/id/eprint/21376/7/An%20Analysis%20on%20the%20Number%20of%20Agents%20Towards%20the%20Performance1.pdf
id ump-21376
recordtype eprints
spelling ump-213762018-09-12T08:32:51Z http://umpir.ump.edu.my/id/eprint/21376/ An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer Nor Hidayati, Abdul Aziz Nor Azlina, Ab. Aziz Mohd Falfazli, Mat Jusof Saifudin, Razali Zuwairie, Ibrahim Asrul, Adam Mohd Ibrahim, Shapiai QA75 Electronic computers. Computer science This paper presents an analysis of simulated Kalman filter (SKF) optimization algorithm. The SKF algorithm is a population-based optimization algorithm and thus, requires the use of agents to perform a search process. In optimization, usually, different number of agent produces different performance in solving optimization problems. In this paper, the performance of SKF is investigated using different number of agent, from 10 up to 1000 agents. Using the same number of fitness evaluations, experimental results indicate that a surprisingly large population size offers higher performance in solving most optimization problems. IEEE 2018 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21376/7/An%20Analysis%20on%20the%20Number%20of%20Agents%20Towards%20the%20Performance1.pdf Nor Hidayati, Abdul Aziz and Nor Azlina, Ab. Aziz and Mohd Falfazli, Mat Jusof and Saifudin, Razali and Zuwairie, Ibrahim and Asrul, Adam and Mohd Ibrahim, Shapiai (2018) An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer. In: 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS2018), 8-10 May 2018 , Kuala Lumpur, Malaysia. pp. 16-21.. ISBN 978-1-5386-6539-8
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Nor Hidayati, Abdul Aziz
Nor Azlina, Ab. Aziz
Mohd Falfazli, Mat Jusof
Saifudin, Razali
Zuwairie, Ibrahim
Asrul, Adam
Mohd Ibrahim, Shapiai
An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer
description This paper presents an analysis of simulated Kalman filter (SKF) optimization algorithm. The SKF algorithm is a population-based optimization algorithm and thus, requires the use of agents to perform a search process. In optimization, usually, different number of agent produces different performance in solving optimization problems. In this paper, the performance of SKF is investigated using different number of agent, from 10 up to 1000 agents. Using the same number of fitness evaluations, experimental results indicate that a surprisingly large population size offers higher performance in solving most optimization problems.
format Conference or Workshop Item
author Nor Hidayati, Abdul Aziz
Nor Azlina, Ab. Aziz
Mohd Falfazli, Mat Jusof
Saifudin, Razali
Zuwairie, Ibrahim
Asrul, Adam
Mohd Ibrahim, Shapiai
author_facet Nor Hidayati, Abdul Aziz
Nor Azlina, Ab. Aziz
Mohd Falfazli, Mat Jusof
Saifudin, Razali
Zuwairie, Ibrahim
Asrul, Adam
Mohd Ibrahim, Shapiai
author_sort Nor Hidayati, Abdul Aziz
title An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer
title_short An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer
title_full An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer
title_fullStr An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer
title_full_unstemmed An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer
title_sort analysis on the number of agents towards the performance of the simulated kalman filter optimizer
publisher IEEE
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21376/
http://umpir.ump.edu.my/id/eprint/21376/7/An%20Analysis%20on%20the%20Number%20of%20Agents%20Towards%20the%20Performance1.pdf
first_indexed 2023-09-18T22:31:20Z
last_indexed 2023-09-18T22:31:20Z
_version_ 1777416305541906432

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