• 沒有找到結果。

A genetic algorithm for multicast routing under delay constraint in WDM network with different light splitting

N/A
N/A
Protected

Academic year: 2022

Share "A genetic algorithm for multicast routing under delay constraint in WDM network with different light splitting"

Copied!
1
0
0

加載中.... (立即查看全文)

全文

(1)

題名: A genetic algorithm for multicast routing under delay constraint in WDM network with different light splitting

作者: M. T. Chen;S. S. Tseng

貢獻者: Department of Information Science and Applications 關鍵詞: genetic algorithm;multicast routing;WDM network;delay

constraint;splitting degree;NP-hard 日期: 2005-01

上傳時間: 2009-11-30T08:03:23Z 出版者: Asia University

摘要: Because optical WDM networks will become a realistic choice for buildings backbones, multicasting in the WDM network should be supported for various network applications. In this paper, a new multicast problem, Multicast Routing under Delay Constraint Problem (MRDCP), routing a request with delay bound to all destinations in a WDM network with different light splitting is solved by genetic

algorithms (GAs), where different light splitting means that nodes in the network can transmit one copy or multiple copies to other nodes by using the same wavelength. The MRDCP can be reduced to the Minimal Steiner Tree Problem (MSTP) which has been shown to be NP-Complete.

We propose a destination-oriented representation to represent chromosomes, three general genetic operators (selection, crossover, and mutation), four types of operators (Chromosome Crossover, Individual Crossover, Chromosome Mutation, and Individual Mutation).

Four mutation heuristics (Random Mutation (RM), Cost First Mutation (CFM), Delay First Mutation (DFM), and Hybrid Mutation (HM)) are employed in the GA method. Finally, experimental results show that our solution model can obtain a near optimal solution.

參考文獻

相關文件

• As RREP travels backwards, each node sets pointer to sending node and updates destination sequence number and timeout entry for source and destination routes.. “Ad-Hoc On

To solve this problem, this study proposed a novel neural network model, Ecological Succession Neural Network (ESNN), which is inspired by the concept of ecological succession

Therefore, the purpose of this study is to propose a model, named as the Interhub Heterogeneous Fleet Routing Problem (IHFRP), to deal with the route design

Selcuk Candan, ”GMP: Distributed Geographic Multicast Routing in Wireless Sensor Networks,” IEEE International Conference on Distributed Computing Systems,

This paper formulates the above situation to the Multi-temperature Refrigerated Container Vehicle Routing Problem (MRCVRP), and proposes a two-stage heuristic which consists of

Abstract: This paper presents a meta-heuristic, which is based on the Threshold Accepting combined with modified Nearest Neighbor and Exchange procedures, to solve the Vehicle

In this paper, a two-step communication cost modification (T2CM) and a synchronization delay-aware scheduling heuristic (SDSH) are proposed to normalize the

Furthermore, given a set of nets in a bus on routing grids with obstacles, and the length constraints for all the nets in the bus, based on this proposed longest path generation,