2009 IEEE International Conference on Communications 2009
DOI: 10.1109/icc.2009.5199271
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On the Use of Multi-Objective Optimization Algorithms for Solving the Impairment Aware-RWA Problem

Abstract: In future transparent optical networks, it is important to consider the impact of physical impairments in the routing and wavelengths assignment process, to achieve efficient connection provisioning. In this paper, we use classical multiobjective optimization (MOO) strategies and particularly genetic algorithms to jointly solve the impairment aware RWA (IA-RWA) problem. Fiber impairments are indirectly considered through the insertion of the path length and the number of common hops in the optimization process… Show more

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Cited by 7 publications
(8 citation statements)
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References 17 publications
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“…Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are well known and successful swarm intelligence optimization algorithms, while Genetic Algorithms (GAs) are evolutionary optimization. Some studies use techniques from ACO [13], GA [14] and PSO [11], [12] to solve the offline or online RWA problem.…”
Section: Introductionmentioning
confidence: 99%
“…Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are well known and successful swarm intelligence optimization algorithms, while Genetic Algorithms (GAs) are evolutionary optimization. Some studies use techniques from ACO [13], GA [14] and PSO [11], [12] to solve the offline or online RWA problem.…”
Section: Introductionmentioning
confidence: 99%
“…In [18], the authors propose a multiobjective optimization strategy. To constrain the physical layer impairments, parameters such as mean number of common hops, mean path length, and mean number of common edges are included in the objective function and genetic algorithms are used for the solution.…”
Section: Lightpath Establishment Under Physical Impairmentsmentioning
confidence: 99%
“…The proposed approaches include linear programming formulations [13][14][15], applications of metaheuristics such as Tabu search [16], genetic algorithms [17,18], and heuristic algorithms [8,[19][20][21][22][23][24][25]. A comprehensive literature survey on physical layer impairment-aware (PLIA) RWA solutions for both offline and online versions of the problem is presented in [26].…”
Section: Lightpath Establishment Under Physical Impairmentsmentioning
confidence: 99%
“…These include the distance of a link [35], a logical distance [10], a combination of distance and hopcount [4], a cost that is a function of the Four-Wave Mixing (FWM) crosstalk [19], the signal quality Q-factor [7] [35], an aggregated cost of monitored link information [23], and the noise variance [11]. Approaches dealing with multiple metrics explicitly have also been considered (e.g., [20], [24]). These metrics may represent measured or computed physical impairment values.…”
Section: Impairments Modelmentioning
confidence: 99%