1 resultado para Particle swarm optimization algorithm
em The Scholarly Commons | School of Hotel Administration
Filtro por publicador
- Aberdeen University (3)
- Aberystwyth University Repository - Reino Unido (4)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (13)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (10)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (12)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (5)
- Boston University Digital Common (1)
- Brock University, Canada (7)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (6)
- Cambridge University Engineering Department Publications Database (54)
- CentAUR: Central Archive University of Reading - UK (38)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (42)
- Cochin University of Science & Technology (CUSAT), India (10)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- CUNY Academic Works (3)
- Dalarna University College Electronic Archive (6)
- Digital Commons - Michigan Tech (3)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (7)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Greenwich Academic Literature Archive - UK (5)
- Helda - Digital Repository of University of Helsinki (3)
- Indian Institute of Science - Bangalore - Índia (122)
- Instituto Politécnico do Porto, Portugal (39)
- Memorial University Research Repository (1)
- Nottingham eTheses (9)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (67)
- Queensland University of Technology - ePrints Archive (95)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (3)
- Repositório Institucional da Universidade de Aveiro - Portugal (6)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (85)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (4)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad de Alicante (10)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (34)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (4)
- Universidade Federal do Rio Grande do Norte (UFRN) (18)
- Universita di Parma (1)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (1)
- Université de Montréal (2)
- Université de Montréal, Canada (8)
- Université Laval Mémoires et thèses électroniques (1)
- University of Queensland eSpace - Australia (3)
- University of Washington (2)
- WestminsterResearch - UK (2)
Resumo:
This report describes a tool for global optimization that implements the Differential Evolution optimization algorithm as a new Excel add-in. The tool takes a step beyond Excel’s Solver add-in, because Solver often returns a local minimum, that is, a minimum that is less than or equal to nearby points, while Differential Evolution solves for the global minimum, which includes all feasible points. Despite complex underlying mathematics, the tool is relatively easy to use, and can be applied to practical optimization problems, such as establishing pricing and awards in a hotel loyalty program. The report demonstrates an example of how to develop an optimum approach to that problem.