An improved hybrid particle swarm optimization algorithm applied to economic modeling of radio resource allocation

Author:

Mattos César L. C.,Barreto Guilherme A.,Cavalcanti Francisco R. P.

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)

Reference40 articles.

1. Badia, L., & Zorzi, M. (2004). On utility-based radio resource management with and without service guarantees. In Proceedings of the 7th ACM international symposium on modeling, analysis and simulation of wireless and mobile systems (MSWiM’04) (pp. 244–251).

2. Badia, L., Lindström, M., Zander, J., & Zorzi, M. (2003). Demand and pricing effects on the radio resource allocation of multimedia communication systems. In Proceedings of the IEEE Globecom’2003 (Vol. 7, pp. 4116–4121).

3. Badia, L., Lindström, M., Zander, J., & Zorzi, M. (2004). An economic model for the radio resource management in multimedia wireless systems. Computer Communications, 27(11), 1056–1064.

4. Badia, L., Saturni, C., Brunetta, L., & Zorzi, M. (2005). An optimization framework for radio resource management based on utility vs. price tradeoff in WCDMA systems. In Proceedings of the 3rd international symposium on modeling and optimization in mobile, ad hoc, and wireless networks (pp. 404–412). Los Alamitos: IEEE Computer Society.

5. Barkat Ullah, A., Sarker, R., & Lokan, C. (2011). Handling equality constraints with agent-based memetic algorithms. Memetic Computing, 1–22.

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