1 resultado para Study skills.
em Cambridge University Engineering Department Publications Database
Filtro por publicador
- JISC Information Environment Repository (11)
- Repository Napier (1)
- ABACUS. Repositorio de Producción Científica - Universidad Europea (2)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Aquatic Commons (1)
- Archive of European Integration (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (39)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (31)
- Brock University, Canada (38)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- Cambridge University Engineering Department Publications Database (1)
- CentAUR: Central Archive University of Reading - UK (40)
- Cochin University of Science & Technology (CUSAT), India (1)
- Coffee Science - Universidade Federal de Lavras (3)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (11)
- Deakin Research Online - Australia (189)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (49)
- DigitalCommons@The Texas Medical Center (7)
- DigitalCommons@University of Nebraska - Lincoln (4)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (4)
- DRUM (Digital Repository at the University of Maryland) (7)
- Duke University (4)
- Fachlicher Dokumentenserver Paedagogik/Erziehungswissenschaften (1)
- Glasgow Theses Service (3)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (7)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Institute of Public Health in Ireland, Ireland (1)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico de Viseu (4)
- Instituto Politécnico do Porto, Portugal (4)
- Instituto Superior de Psicologia Aplicada - Lisboa (5)
- Memoria Académica - FaHCE, UNLP - Argentina (3)
- Ministerio de Cultura, Spain (2)
- National Center for Biotechnology Information - NCBI (2)
- Open University Netherlands (5)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (53)
- Queensland University of Technology - ePrints Archive (149)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (3)
- Repositório Científico da Escola Superior de Enfermagem de Coimbra (2)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Digital da Universidade Municipal de São Caetano do Sul - USCS (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (10)
- Research Open Access Repository of the University of East London. (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (2)
- School of Medicine, Washington University, United States (13)
- Scielo España (2)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (3)
- Universidad Politécnica de Madrid (15)
- Universidade Católica Portuguesa (1)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (4)
- Université de Montréal, Canada (3)
- University of Connecticut - USA (1)
- University of Michigan (9)
- University of Queensland eSpace - Australia (9)
- University of Southampton, United Kingdom (19)
- University of Washington (1)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (6)
Resumo:
This paper presents a preliminary study which describes and evaluates a multi-objective (MO) version of a recently created single objective (SO) optimization algorithm called the "Alliance Algorithm" (AA). The algorithm is based on the metaphorical idea that several tribes, with certain skills and resource needs, try to conquer an environment for their survival and to ally together to improve the likelihood of conquest. The AA has given promising results in several fields to which has been applied, thus the development of a MO variant (MOAA) is a natural extension. Here the MOAA's performance is compared with two well-known MO algorithms: NSGA-II and SPEA-2. The performance measures chosen for this study are the convergence and diversity metrics. The benchmark functions chosen for the comparison are from the ZDT and OKA families and the main classical MO problems. The results show that the three algorithms have similar overall performance. Thus, it is not possible to identify a best algorithm for all the problems; the three algorithms show a certain complementarity because they offer superior performance for different classes of problems. © 2012 IEEE.