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An orthogonal genetic algorithm for multimedia multicast routing

delete1999-04-01
delete238
PRE
AI
Q
Qingfu Zhang
Y
Yiu-Wing Leung
DOI:10.1109/4235.752920delete
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Abstract

Abstract

En 中文
Many multimedia communication applications require a source to send multimedia information to multiple destinations through a communication network. To support these applications, it is necessary to determine a multicast tree of minimal cost to connect the source node to the destination nodes subject to delay constraints on multimedia communication. This problem is known as multimedia multicast routing and has been proved to be NP-complete, This paper proposes an orthogonal genetic algorithm for multimedia multicast routing. Its salient feature is to incorporate an experimental design method called orthogonal design into the crossover operation. As a result, it can search the solution space in a statistically sound manner and it is well suited for parallel implementation and execution. We execute the orthogonal genetic algorithm to solve two sets of benchmark test problems. The results indicate that for practical problem sizes, the orthogonal genetic algorithm can find near-optimal solutions within moderate numbers of generations.
Keywords:
genetic algorithm
multimedia multicast routing
NP-complete

Journal

IEEE Transactions on Evolutionary Computation cover
IEEE Transactions on Evolutionary Computation
IF:
12
Papers:
1.8K
Citations:
2.4W

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