Convergence analysis of particle swarm optimization (PSO) method on the with-in host dengue infection treatment model

D. Handayani, N. Nuraini, R. Saragih, O. Tse, J. Naiborhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

PSO is a computational optimization method motivated by the social behavior of organisms like bird flocking, fish schooling and human social relations. PSO is one of the most important swarm intelligence algorithms. In this study, we analyze the convergence of PSO when it is applied to with-in host dengue infection treatment model simulation in our early research. We used PSO method to construct the initial adjoin equation and to solve a control problem. Its properties of control input on the continuity of objective function and ability of adapting to the dynamic environment made us have to analyze the convergence of PSO. With the convergence analysis of PSO we will have some parameters that ensure the convergence result of numerical simulations on this model using PSO.

Original languageEnglish
Title of host publicationSymposium on Biomathematics, SYMOMATH 2015
EditorsMochamad Apri, Yasuhiro Takeuchi
PublisherAmerican Institute of Physics
Pages1-4
Number of pages4
ISBN (Electronic)9780735413702
DOIs
Publication statusPublished - 6 Apr 2016
Externally publishedYes
EventSymposium on Biomathematics, SYMOMATH 2015 - Bandung, Indonesia
Duration: 4 Nov 20156 Nov 2015

Publication series

NameAIP Conference Proceedings
Volume1723
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceSymposium on Biomathematics, SYMOMATH 2015
Country/TerritoryIndonesia
CityBandung
Period4/11/156/11/15

Fingerprint

Dive into the research topics of 'Convergence analysis of particle swarm optimization (PSO) method on the with-in host dengue infection treatment model'. Together they form a unique fingerprint.

Cite this