Result: Optimization restoration algorithm based on ant colony algorithm in WDM networks

Title:
Optimization restoration algorithm based on ant colony algorithm in WDM networks
Authors:
CHUNYONG YANG, DEMINE LIU, DEXIU HUANG, WE LI
Source:
Optical transmission, switching, and subsystems II (Beijing, 9-11 November 2004)SPIE proceedings series. :1034-1039
Publisher Information:
Bellingham WA: SPIE, 2005.
Publication Year:
2005
Physical Description:
print, 5 ref 2
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Optics, Optique, Physics, Physique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie de l'information, Information theory, Théorie du signal et des communications, Signal and communications theory, Multiplexage, Multiplexing, Télécommunications, Telecommunications, Systèmes, réseaux et services de télécommunications, Systems, networks and services of telecommunications, Transmission et modulation (techniques et équipements), Transmission and modulation (techniques and equipments), Télécommunications optiques, Optical telecommunications, Télécommunications par fibres optiques, Optical fiber communications, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Communication fibre optique, Optical fiber communication, Défaillance, Failures, Fallo, Multiplexage longueur onde, Wavelength division multiplexing, Multiplaje longitud onda, Méthode combinatoire, Combinatorial method, Método combinatorio, Optimisation combinatoire, Combinatorial optimization, Optimización combinatoria, Problème combinatoire, Combinatorial problem, Problema combinatorio, Recherche information, Information retrieval, Búsqueda información, Routage, Routing, Enrutamiento, Réseau fibre optique, Optical fiber network, Red fibra óptica, Réseau télécommunication, Telecommunication network, Red telecomunicación, Simulation numérique, Numerical simulation, Simulación numérica, Stratégie recherche, Search strategy, Estrategia investigación, Télécommunication optique, Optical telecommunication, Telecomunicación óptica
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Optoelectronics Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=17095564
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.17095564
Database:
PASCAL Archive

Further Information

Ant colony algorithm (ACA) is a novel simulated evolutionary algorithm. It is a population-based approach, which allows positive feedback to be used as the primary search mechanism and provides a new method for complicated combinatorial optimization problems. In this paper, it is used to optimize restoration routing for WDM optical networks. It is improved in three parts of selection strategy, local search, and information modification and it can process the problem of optimal restoration route search for different purpose in the cases of various failure conditions. Through the numerical results of practical networks: CHINANET, the practicability has been proved.