1 resultado para Integer representation
em Repository Napier
Filtro por publicador
- Repository Napier (1)
- Aberystwyth University Repository - Reino Unido (7)
- Academic Research Repository at Institute of Developing Economies (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (10)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- Aquatic Commons (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (19)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (6)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (68)
- Boston University Digital Common (13)
- Brock University, Canada (11)
- Bucknell University Digital Commons - Pensilvania - USA (7)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (5)
- Cambridge University Engineering Department Publications Database (48)
- CentAUR: Central Archive University of Reading - UK (106)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (19)
- Cochin University of Science & Technology (CUSAT), India (4)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- CUNY Academic Works (2)
- Dalarna University College Electronic Archive (4)
- Deakin Research Online - Australia (149)
- Department of Computer Science E-Repository - King's College London, Strand, London (7)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Knowledge Repository of Central Drug Research Institute (1)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (3)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (3)
- Funes: Repositorio digital de documentos en Educación Matemática - Colombia (1)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (2)
- Greenwich Academic Literature Archive - UK (10)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (13)
- Indian Institute of Science - Bangalore - Índia (61)
- Instituto Politécnico do Porto, Portugal (6)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (17)
- Ministerio de Cultura, Spain (4)
- National Center for Biotechnology Information - NCBI (10)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (9)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (71)
- Queensland University of Technology - ePrints Archive (86)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (4)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (61)
- 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 (1)
- School of Medicine, Washington University, United States (5)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (10)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (15)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (10)
- University of Michigan (16)
- University of Southampton, United Kingdom (3)
- University of Washington (3)
- WestminsterResearch - UK (6)
Resumo:
Reducing the energy consumption of water distribution networks has never had more significance. The greatest energy savings can be obtained by carefully scheduling the operations of pumps. Schedules can be defined either implicitly, in terms of other elements of the network such as tank levels, or explicitly by specifying the time during which each pump is on/off. The traditional representation of explicit schedules is a string of binary values with each bit representing pump on/off status during a particular time interval. In this paper, we formally define and analyze two new explicit representations based on time-controlled triggers, where the maximum number of pump switches is established beforehand and the schedule may contain less switches than the maximum. In these representations, a pump schedule is divided into a series of integers with each integer representing the number of hours for which a pump is active/inactive. This reduces the number of potential schedules compared to the binary representation, and allows the algorithm to operate on the feasible region of the search space. We propose evolutionary operators for these two new representations. The new representations and their corresponding operations are compared with the two most-used representations in pump scheduling, namely, binary representation and level-controlled triggers. A detailed statistical analysis of the results indicates which parameters have the greatest effect on the performance of evolutionary algorithms. The empirical results show that an evolutionary algorithm using the proposed representations improves over the results obtained by a recent state-of-the-art Hybrid Genetic Algorithm for pump scheduling using level-controlled triggers.