Hybrid heuristics have been proposed by many
researches as a method to overcome problems in pure heuristic
implementation for multi-constrained QoS routing problems.
In this paper we present some hybrid approaches based on
Genetic Algorithms and Particle Swarm Optimization as well
as their performance to solve NP-complete routing problem.
%0 Journal Article
%1 guillenedward2011hybrid
%A Guillen. Edward, Camargo.Yeison
%A Estupiñán.Paola,
%D 2011
%E Das, Dr. Vinu V
%J International Journal on Network Security
%K Anycast GA Multicast Optimization PSO Routing
%N 4
%P 4
%T Hybrid approaches in Network Optical Routing with
QoS based on Genetic Algorithms and Particle Swarm
Optimization
%U http://doi.searchdl.org/01.IJNS.2.4.31
%V 2
%X Hybrid heuristics have been proposed by many
researches as a method to overcome problems in pure heuristic
implementation for multi-constrained QoS routing problems.
In this paper we present some hybrid approaches based on
Genetic Algorithms and Particle Swarm Optimization as well
as their performance to solve NP-complete routing problem.
@article{guillenedward2011hybrid,
abstract = {Hybrid heuristics have been proposed by many
researches as a method to overcome problems in pure heuristic
implementation for multi-constrained QoS routing problems.
In this paper we present some hybrid approaches based on
Genetic Algorithms and Particle Swarm Optimization as well
as their performance to solve NP-complete routing problem.},
added-at = {2012-09-25T09:16:16.000+0200},
author = {Guillen. Edward, Camargo.Yeison and Estupiñán.Paola},
biburl = {https://www.bibsonomy.org/bibtex/208af0a868372ac0b76d1819f4e04df6b/ideseditor},
editor = {Das, Dr. Vinu V},
interhash = {9dc6fae0156b3e4a33cf65b3d780a251},
intrahash = {08af0a868372ac0b76d1819f4e04df6b},
journal = {International Journal on Network Security},
keywords = {Anycast GA Multicast Optimization PSO Routing},
month = {October},
number = 4,
pages = 4,
timestamp = {2012-09-25T09:16:16.000+0200},
title = {Hybrid approaches in Network Optical Routing with
QoS based on Genetic Algorithms and Particle Swarm
Optimization},
url = {http://doi.searchdl.org/01.IJNS.2.4.31},
volume = 2,
year = 2011
}