Proceedings of the 2015 International Conference on Advanced Manufacturing and Industrial Application

Evaluation of Particle Swarm Optimization Factors Using Gray Situation Decision-Making Model

Authors
Po-Yuan Hsu, Yi-Lung Yeh
Corresponding Author
Po-Yuan Hsu
Available Online December 2015.
DOI
10.2991/icamia-15.2015.24How to use a DOI?
Keywords
para-tank model; particle swarm optimization; gray system theory; gray situation decision making
Abstract

This study investigates three factors of the acceleration equation, i.e., acceleration constants c1 and c2 and inertia weight w, which are then used as events in particle swarm optimization for parameter optimization in the para-tank model (PTM) during rainfall–runoff simulation. The values of 0.2, 0.5, and 0.8 are respectively used to create 27 groups of situation sets using the indices of the two decision-making objectives, root mean squared error and coefficient of efficiency, in order to analyze the systematic effectiveness. After comparing the comprehensive effect measures, an optimal decision is reached when the combined effectiveness was at the highest when c1 = 0.2, c2 = 0.8, and w = 0.2 and becomes the optimal parameter value for the PTM.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Advanced Manufacturing and Industrial Application
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/icamia-15.2015.24
ISSN
2352-5401
DOI
10.2991/icamia-15.2015.24How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Po-Yuan Hsu
AU  - Yi-Lung Yeh
PY  - 2015/12
DA  - 2015/12
TI  - Evaluation of Particle Swarm Optimization Factors Using Gray Situation Decision-Making Model
BT  - Proceedings of the 2015 International Conference on Advanced Manufacturing and Industrial Application
PB  - Atlantis Press
SP  - 96
EP  - 99
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamia-15.2015.24
DO  - 10.2991/icamia-15.2015.24
ID  - Hsu2015/12
ER  -