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Application on self-provisioning of communication network service using fuzzy particle swarm optimization

conference contribution
posted on 2014-01-01, 00:00 authored by S H Ling, Frank JiangFrank Jiang
© 2014 IEEE. In this paper, a self-provisioning of communication network service based on a fuzzy particle swarm optimization is proposed to minimize the configuration cost of four layer communication network. An swarm optimization called fuzzy particle swarm optimization (FPSO) is introduced. In this FPSO, the inertia weight of PSO is adaptively determined by a set of fuzzy rule. Also, a cross-mutated operation is presented to drive the solution to escape from local optima where the control parameter of this operation is also governed by a set of fuzzy rule. A performance comparison is given to show the performance of the proposed FPSO on the self-provisioning of communication network service and found that the performance of FPSO is significantly better than that of the existing hybrid PSO methods in a statistical sense.

History

Event

Control Automation Robotics & Vision. Conference (2014 : 13th : Singapore)

Pagination

1245 - 1250

Publisher

IEEE

Location

Singapore

Place of publication

Piscataway, N.J.

Start date

2014-12-10

End date

2014-12-12

ISBN-13

9781479951994

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

ICARCV 2014 : Proceedings of the 13th International Conference on Control Automation Robotics & Vision

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