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

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

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: optimisation, simulated Kalman filter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Prof. Madya Dr. Zuwairi Ibrahim
Date Deposited: 12 Sep 2018 08:32
Last Modified: 12 Sep 2018 08:32
URI: http://umpir.ump.edu.my/id/eprint/21376
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