Accelerated particle swarm optimization and support vector machine for business optimization and applications
Conference paper
Yang, X., Deb, S. and Fong, S. 2011. Accelerated particle swarm optimization and support vector machine for business optimization and applications. Fong, S. (ed.) NDT 2011: International Conference on Networked Digital Technologies. Macau, China 11 - 13 Jul 2011 Springer. pp. 53-66 https://doi.org/10.1007/978-3-642-22185-9_6
Type | Conference paper |
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Title | Accelerated particle swarm optimization and support vector machine for business optimization and applications |
Authors | Yang, X., Deb, S. and Fong, S. |
Abstract | Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints. Recent developments in support vector machine and metaheuristics show many advantages of these techniques. In particular, particle swarm optimization is now widely used in solving tough optimization problems. In this paper, we use a combination of a recently developed Accelerated PSO and a nonlinear support vector machine to form a framework for solving business optimization problems. We first apply the proposed APSO-SVM to production optimization, and then use it for income prediction and project scheduling. We also carry out some parametric studies and discuss the advantages of the proposed metaheuristic SVM. |
Keywords | Accelerated PSO; business optimization; metaheuristics; PSO; support vector machine; project scheduling |
Conference | NDT 2011: International Conference on Networked Digital Technologies |
Page range | 53-66 |
Proceedings Title | Networked Digital Technologies: Third International Conference, NDT 2011, Macau, China, July 11-13, 2011. Proceedings |
Series | Communications in Computer and Information Science |
Editors | Fong, S. |
ISSN | 1865-0929 |
Electronic | 1865-0937 |
ISBN | |
Paperback | 9783642221842 |
Electronic | 9783642221859 |
Publisher | Springer |
Publication dates | |
27 Jun 2011 | |
Publication process dates | |
Deposited | 21 Nov 2012 |
Output status | Published |
Web address (URL) | https://link.springer.com/chapter/10.1007/978-3-642-22185-9_6 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-22185-9_6 |
Web of Science identifier | WOS:000306987900006 |
Web address (URL) of conference proceedings | https://doi.org/10.1007/978-3-642-22185-9 |
Language | English |
https://repository.mdx.ac.uk/item/83wq1
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