16 resultados para Ant colony optimisation algorithm
Filtro por publicador
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Aston University Research Archive (14)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (68)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (4)
- Biodiversity Heritage Library, United States (13)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (1)
- Brock University, Canada (10)
- CentAUR: Central Archive University of Reading - UK (19)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (2)
- Cochin University of Science & Technology (CUSAT), India (16)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (65)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- Digital Commons at Florida International University (1)
- Digital Peer Publishing (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (28)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (42)
- Galway Mayo Institute of Technology, Ireland (1)
- Greenwich Academic Literature Archive - UK (1)
- Instituto Politécnico do Porto, Portugal (42)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (5)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (11)
- National Center for Biotechnology Information - NCBI (3)
- Nottingham eTheses (19)
- Publishing Network for Geoscientific & Environmental Data (75)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (20)
- Repositório da Escola Nacional de Administração Pública (ENAP) (2)
- Repositório da Produção Científica e Intelectual da Unicamp (6)
- Repositorio Institucional de la Universidad de Almería (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (43)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (12)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (61)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (1)
- Universidad Autónoma de Nuevo León, Mexico (2)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (17)
- Universidade do Minho (9)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (4)
- Universitat de Girona, Spain (9)
- Université de Lausanne, Switzerland (213)
- Université de Montréal (1)
- Université de Montréal, Canada (38)
- University of Canberra Research Repository - Australia (2)
- University of Queensland eSpace - Australia (44)
- University of Southampton, United Kingdom (9)
Resumo:
This paper presents a new approach to the design of combinational digital circuits with multiplexers using Evolutionary techniques. Genetic Algorithm (GA) is used as the optimization tool. Several circuits are synthesized with this method and compared with two design techniques such as standard implementation of logic functions using multiplexers and implementation using Shannon’s decomposition technique using GA. With the proposed method complexity of the circuit and the associated delay can be reduced significantly