A nondominated sorting genetic algorithm for bi-objective network coding based multicast routing problems
Huanlai Xing,Rong Qu +1 more
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TLDR
This paper adapts the Elitist Nondominated Sorting Genetic Algorithm (NSGA-II) for the new problem by introducing two adjustments, and model the problem as a bi-objective optimization problem to minimize the total cost and the maximum transmission delay of a multicast.About:
This article is published in Information Sciences.The article was published on 2013-06-01 and is currently open access. It has received 36 citations till now. The article focuses on the topics: Linear network coding & Multicast.read more
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A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization
TL;DR: The simulation results on benchmark instances demonstrate that with the integrated five extended mechanisms, the modified ant colony optimization algorithm outperforms a number of existing algorithms with respect to the best solutions obtained and the computational time.
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Extracting Innovations : Mining, Energy, and Technological Change in the Digital Age
TL;DR: The socio-ecological fabric of innovation in the extractive industries is considered through an integrative approach that brings together engineers, natural scientists, and social scientists as mentioned in this paper, giving an empirically grounded and realistic evaluation of the innovations in this sector.
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QoS multicast routing protocol oriented to cognitive network using competitive coevolutionary algorithm
Xingwei Wang,Hui Cheng,Min Huang +2 more
TL;DR: This paper designs the cognitive behaviors summarized in the cognitive science for the network nodes and proposes a QoS multicast routing protocol oriented to cognitive network, named as CogMRT, which has remarkable advantages over the counterpart traditional protocols by exploiting the cognitive favors.
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An improved MOEA/D algorithm for multi-objective multicast routing with network coding
TL;DR: The multicast routing problem with network coding is formulated as a multi-objective optimization problem (MOP), where the total coding cost, the total link cost and the end-to-end delay are minimized simultaneously.
Journal ArticleDOI
Bilevel Programming, Equilibrium, and Combinatorial Problems with Applications to Engineering
TL;DR: In this paper, the authors proposed a model for social model learning at the Central Economics & Mathematics Institute (CEMI), Russian Academy of Sciences, Nakhimovsky pr. 47, Moscow 117418, Russia 3 Department of Computing, Sumy State University, Rimsky-Korsakov St. 2, Summy 40007, Ukraine 4 Department of Industrial Engineering, Texas Tech University, P.O. Box 43061, Lubbock, TX 79409, USA 5 Facultad de Ciencias Fisico-Matematicas
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An Adaptive Multi-objective Image Watermarking Scheme for QIM Using NSGA-II
Na Wang,Xia Li,Lingjun Liu +2 more
TL;DR: A new robust watermarking method, named QIM-NSGA-II, is proposed based on the non-dominated sorting genetic algorithm II and quantization index modulation and has a good robustness against common attacks.