2007
DOI: 10.1016/j.comcom.2006.09.009
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A genetic algorithm for solving virtual topology configuration transition problem in WDM network

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Cited by 15 publications
(16 citation statements)
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“…Given the physical network, demand matrix, two (current and new) virtual topologies, the goal is to find an optimal transition sequence (from old to new) such that the objective cost can be minimized. The objective cost considered in this article is the average weighted delay (AWD) which is more accurate than those proposed in [28,38]. This problem is denoted as WDM virtual topology transition sequence problem (WVTTSP) in which goal is to find the optimal transition sequence such that the AWD can be minimized.…”
Section: Studied Problemmentioning
confidence: 99%
See 2 more Smart Citations
“…Given the physical network, demand matrix, two (current and new) virtual topologies, the goal is to find an optimal transition sequence (from old to new) such that the objective cost can be minimized. The objective cost considered in this article is the average weighted delay (AWD) which is more accurate than those proposed in [28,38]. This problem is denoted as WDM virtual topology transition sequence problem (WVTTSP) in which goal is to find the optimal transition sequence such that the AWD can be minimized.…”
Section: Studied Problemmentioning
confidence: 99%
“…Given the traffic demand from the upper layers, the current and new virtual topologies, the goal is to find an optimal transition sequence (from current to new) such that the objective cost can be minimized. The objective cost considered in [38] is the average weighted hop distance which is more accurate than the one proposed in [28]. A genetic algorithm was proposed to solve the WVTCTP.…”
Section: Transition Sequence Problemmentioning
confidence: 99%
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“…Der-Rong [2] proposed the WDM Virtual Topology Configuration Transition Problem (WVTCTP) which minimizes the average weighted hop distance is studied. Since the WVTCTP is NP-hard, a Genetic Algorithm (GA) is proposed to solve it.…”
Section: Related Workmentioning
confidence: 99%
“…Since the traffic demand of upper layer applications fluctuates from time to time, it is required to reconfigure the underlying virtual topology in the optical layer accordingly. Din (2004Din ( , 2007 has used genetic algorithms to solve the optimal multiple multicast problem on wavelength division multiplexing ring networks, without wavelength conversion and the virtual topology configuration transition problem. Also, Le et al (2006) have dealt with the dynamic survivable routing problem, both in optical networks without wavelength conversion and in optical networks with sparse wavelength conversion.…”
Section: Introductionmentioning
confidence: 99%