Scipediacontent: Scipediacontent moved page Draft Content 634371757 to Rocha et al 2011a

2021-02-03T19:26:09Z

Scipediacontent moved page Draft Content 634371757 to Rocha et al 2011a

Scipediacontent: Created page with " == Abstract == Evolutionary Algorithms (EAs) have been used to develop methods for Traffic Engineering (TE) over IP-based networks in the last few years, being used to reach..."

2021-02-03T19:26:06Z

Created page with " == Abstract == Evolutionary Algorithms (EAs) have been used to develop methods for Traffic Engineering (TE) over IP-based networks in the last few years, being used to reach..."

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== Abstract ==

Evolutionary Algorithms (EAs) have been used to develop methods for Traffic Engineering (TE) over IP-based networks in the last few years, being used to reach the best set of link weights in the configuration of intra-domain routing protocols, such as OSPF. In this work, the multiobjective nature of a class of optimization problems provided by TE with Quality of Service constraints is identified. Multiobjective EAs (MOEAs) are developed to tackle these tasks and their results are compared to previous approaches using single objective EAs. The effect of distinct genetic representations within the MOEAs is also explored. The results show that the MOEAs provide more flexible solutions for network management, but are in some cases unable to reach the level of quality obtained by single objective EAs. Furthermore, a freely available software application is described that allows the use of the mentioned optimization algorithms by network administrators, in an user-friendly way by providing adequate user interfaces for the main TE tasks. FCT - project ref. PTDC/EIA-EIA/115176/2009; grant UMINHO/BII/061/2009

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/1822/14336 http://hdl.handle.net/1822/14336]

* [http://repositorium.sdum.uminho.pt/bitstream/1822/14336/1/cec2011-moospf.pdf http://repositorium.sdum.uminho.pt/bitstream/1822/14336/1/cec2011-moospf.pdf]

* [http://xplorestaging.ieee.org/ielx5/5936494/5949581/05949897.pdf?arnumber=5949897 http://xplorestaging.ieee.org/ielx5/5936494/5949581/05949897.pdf?arnumber=5949897],
: [http://dx.doi.org/10.1109/cec.2011.5949897 http://dx.doi.org/10.1109/cec.2011.5949897]

* [https://repositorium.sdum.uminho.pt/bitstream/1822/14336/1/cec2011-moospf.pdf https://repositorium.sdum.uminho.pt/bitstream/1822/14336/1/cec2011-moospf.pdf],
: [https://dblp.uni-trier.de/db/conf/cec/cec2011.html#RochaSSCR11 https://dblp.uni-trier.de/db/conf/cec/cec2011.html#RochaSSCR11],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005949897 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005949897],
: [https://repositorium.sdum.uminho.pt/handle/1822/14336 https://repositorium.sdum.uminho.pt/handle/1822/14336],
: [https://academic.microsoft.com/#/detail/2099581765 https://academic.microsoft.com/#/detail/2099581765]

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Rocha et al 2011a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 634371757 to Rocha et al 2011a

Scipediacontent: Created page with " == Abstract == Evolutionary Algorithms (EAs) have been used to develop methods for Traffic Engineering (TE) over IP-based networks in the last few years, being used to reach..."