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PSO Algorithm for Single and Multiple Odor Sources Localization Problems: Progress and Challenge Cover

PSO Algorithm for Single and Multiple Odor Sources Localization Problems: Progress and Challenge

International Journal on Smart Sensing and Intelligent Systems
Volume 9 (2016): Issue 3 (January 2016)
By: ,  ,  ,  ,  ,  ,  ,  ,   and    
Open Access
|Sep 2016
Authors

Authors

W. Jatmiko

wisnuj@cs.ui.ac.id

F. Jovan

R.Y.S. Dhiemas

M.S. Alvissalim

A. Febrian

D. Widiyanto

D.M.J. Purnomo

H.A. Wisesa

T. Fukuda

K. Sekiyama

DOI: https://doi.org/10.21307/ijssis-2017-925 | Journal eISSN: 1178-5608
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Language: English
Page range: 1431 - 1478
Submitted on: May 17, 2016
Accepted on: Jul 28, 2016
Published on: Sep 1, 2016
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Particle Swarm Optimization,
PSO,
Modified PSO,
Odor Source Localization,
Al-Fath,
Multiple Odor Sources Localization,
Multiple Robots,
Dynamic Environment,
Parallel Localization
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2016 W. Jatmiko, F. Jovan, R.Y.S. Dhiemas, M.S. Alvissalim, A. Febrian, D. Widiyanto, D.M.J. Purnomo, H.A. Wisesa, T. Fukuda, K. Sekiyama, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 9 (2016): Issue 3 (January 2016)
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