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An orthogonal genetic algorithm for multimedia multicast routing

Published: 01 April 1999 Publication History

Abstract

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. The 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

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cover image IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation  Volume 3, Issue 1
April 1999
74 pages

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IEEE Press

Publication History

Published: 01 April 1999

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  • (2023)A survey of intelligent optimization algorithms for solving satisfiability problemsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23007345:1(445-461)Online publication date: 1-Jan-2023
  • (2023)An orthogonal electric fish optimization algorithm with quantization for global numerical optimizationSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-07930-627:11(7259-7283)Online publication date: 7-Mar-2023
  • (2021)A Modified Jellyfish Search Optimizer With Orthogonal Learning StrategyProcedia Computer Science10.1016/j.procs.2021.08.072192:C(697-708)Online publication date: 1-Jan-2021
  • (2021)Parameter estimation of three-diode solar photovoltaic model using an Improved-African Vultures optimization algorithm with Newton–Raphson methodJournal of Computational Electronics10.1007/s10825-021-01812-620:6(2563-2593)Online publication date: 17-Nov-2021
  • (2020)An orthogonal moth flame optimization for global optimization and application to model order reduction problemJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-17974438:5(6649-6661)Online publication date: 1-Jan-2020
  • (2020)An improved moth-flame optimization algorithm with orthogonal opposition-based learning and modified position updating mechanism of moths for global optimization problemsApplied Intelligence10.1007/s10489-020-01793-250:12(4434-4458)Online publication date: 1-Dec-2020
  • (2019)Brain Storm Optimization Algorithm Based on Improved Clustering Approach Using Orthogonal Experimental Design2019 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2019.8790307(262-270)Online publication date: 10-Jun-2019
  • (2018)An Enhanced Firefly Algorithm with Orthogonal Centroid Opposition-Based Learning2018 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2018.8477696(1-8)Online publication date: 8-Jul-2018
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  • (2018)Determining Approximate Solutions of Nonlinear Ordinary Differential Equations Using Orthogonal Colliding Bodies OptimizationNeural Processing Letters10.1007/s11063-017-9711-648:1(219-243)Online publication date: 1-Aug-2018
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