1 resultado para evolutionary genomics
em Universidade Federal do Pará
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (2)
- Aberystwyth University Repository - Reino Unido (6)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (5)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (16)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (5)
- ARCA - Repositório Institucional da FIOCRUZ (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (5)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (26)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (27)
- Biodiversity Heritage Library, United States (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (74)
- Boston University Digital Common (1)
- Brock University, Canada (11)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (25)
- CentAUR: Central Archive University of Reading - UK (75)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (51)
- Cochin University of Science & Technology (CUSAT), India (6)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (3)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (67)
- Department of Computer Science E-Repository - King's College London, Strand, London (12)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (8)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Duke University (26)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (9)
- Greenwich Academic Literature Archive - UK (5)
- Helda - Digital Repository of University of Helsinki (20)
- Indian Institute of Science - Bangalore - Índia (34)
- Instituto Politécnico do Porto, Portugal (3)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (4)
- National Center for Biotechnology Information - NCBI (54)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (14)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (5)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (66)
- Queensland University of Technology - ePrints Archive (125)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (103)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- SAPIENTIA - Universidade do Algarve - Portugal (5)
- School of Medicine, Washington University, United States (3)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (22)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (8)
- Université de Montréal, Canada (8)
- University of Canberra Research Repository - Australia (1)
- University of Queensland eSpace - Australia (1)
- University of Washington (1)
- WestminsterResearch - UK (1)
Resumo:
In this paper, we propose a hybrid methodology based on Graph-Coloring and Genetic Algorithm (GA) to solve the Wavelength Assignment (WA) problem in optical networks, impaired by physical layer effects. Our proposal was developed for a static scenario where the physical topology and traffic matrix are known a priori. First, we used fixed shortest-path routing to attend demand requests over the physical topology and the graph-coloring algorithm to minimize the number of necessary wavelengths. Then, we applied the genetic algorithm to solve WA. The GA finds the wavelength activation order on the wavelengths grid with the aim of reducing the Cross-Phase Modulation (XPM) effect; the variance due to the XPM was used as a function of fitness to evaluate the feasibility of the selected WA solution. Its performance is compared with the First-Fit algorithm in two different scenarios, and has shown a reduction in blocking probability up to 37.14% when considered both XPM and residual dispersion effects and up to 71.42% when only considered XPM effect. Moreover, it was possible to reduce by 57.14% the number of wavelengths.