UMP Institutional Repository

Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration

Abdulbari, Hayder A. and Fiona Ling, Wang Ming (2016) Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration. In: 9th International Conference on Thermal Engineering: Theory and Application, 24-26 March 2016 , Abu Dhabi, UAE. pp. 1-3.. ISSN 1051-8215

[img] PDF
Liquid Flow Enhancement using Natural Polymeric Additives- Effect of Concentration.pdf
Restricted to Repository staff only

Download (507kB) | Request a copy
[img]
Preview
PDF
fkksa-2016-hayder-Liquid Flow Enhancement using Natural Polymeric Additives.pdf

Download (19kB) | Preview

Abstract

In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. This new algorithm is inspired by the estimation capability of the Kalman Filter. In principle, state estimation problem is regarded as an optimization problem, and each agent in SKF acts as a Kalman Filter. An agent in the population finds solution to optimization problem using a standard Kalman Filter framework, which includes a simulated measurement process and a best-so-far solution as a reference. To evaluate the performance of the Simulated Kalman Filter algorithm, it is applied to 30 benchmark functions of CEC 2014 for real-parameter single objective optimization problems. Statistical analysis is then carried out to rank SKF results to those obtained by other metaheuristic algorithms. The experimental results show that the proposed SKF algorithm is a promising approach, and has a comparable performance to some well-known metaheuristic algorithms.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Optimization, metaheuristics, Kalman, estimation
Subjects: T Technology > TP Chemical technology
Faculty/Division: Centre of Excellence: Centre of Excellence for Advanced Research in Fluid Flow
Faculty of Chemical & Natural Resources Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 21 Apr 2016 02:28
Last Modified: 11 Jan 2018 07:25
URI: http://umpir.ump.edu.my/id/eprint/9547
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item