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CORDIS - Resultados de investigaciones de la UE
CORDIS

Enhanced data management techniques for real time logistics planning and scheduling

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Network data collection, current supply chain network efficiency and collaboration opportunities - Release 2 (se abrirá en una nueva ventana)

Network data collection, current supply chain network efficiency and collaboration opportunities for the 4 main sectors - Release 2

New/emerging Business Model Report - Release 3 (se abrirá en una nueva ventana)

This deliverable sets out potential future business models for logistics that are likely to emerge up to (say) 2030 and which LOGISTAR needs to take account of and including analysis of business models relating to collaboration and dynamic transport services (final update).

State of the art in Negotiation and Re-optimization techniques in logistics (se abrirá en una nueva ventana)

Report on the state of the art in Negotiation and Re-optimization techniques in logistics

Market research: interviews, user needs & functional requirements analysis (se abrirá en una nueva ventana)

It includes interviews, user needs & functional requirements analysis in FMCG-Retail, Chemicals, LSPs, Terminals & Ports, Other.

Dissemination plan (se abrirá en una nueva ventana)

Dissemination plan will describe the overall dissemination strategy to be followed throughout the project, together with lists of the planned dissemination actions and events (Initial version and updates).

Report on business improvement & use cases opportunities (se abrirá en una nueva ventana)

This deliverable will provide Return on Experience on the impact, barriers and performance of the process, and trying to introduce the learnings in new logistics strategies and operational decisions.

System deployment and testing specifications (se abrirá en una nueva ventana)

Report on system deployment and testing specifications

New/emerging Business Model Report - Release 2 (se abrirá en una nueva ventana)

This deliverable sets out potential future business models for logistics that are likely to emerge up to (say) 2030 and which LOGISTAR needs to take account of and including analysis of business models relating to collaboration and dynamic transport services (1st annual update).

Definition of use cases and validation plan (se abrirá en una nueva ventana)

Report on the definition of use cases and validation plan.

Conclusions of Applied Learning Cycle with WP1-6 (se abrirá en una nueva ventana)

This deliverable includes leassons learned in the continuous feedback loop between research WPs

Regulation report - Release 2 (se abrirá en una nueva ventana)

It includes two chapters: (a) Horizontal collaboration and competition law guidelines; (b) Data protection & privacy in Europe (GDPR) guidelines

State of the art in optimization techniques for global optimization of logistic systems (se abrirá en una nueva ventana)
Network data collection, current supply chain network efficiency and collaboration opportunities - Release 1 (se abrirá en una nueva ventana)

Network data collection, current supply chain network efficiency and collaboration opportunities for the 4 main sectors. Release 1.

"Testing results evaluation in Living Lab ""Backhauling and Co-loading” led by Nestlé" (se abrirá en una nueva ventana)

Report on the testing results evaluation in the Living Lab Backhauling and Coloading led by Nestl

Global engagement plan for user engagement - Release 2 (se abrirá en una nueva ventana)

Final version of the report on plan for user engagement

Regulation report - Release 3 (se abrirá en una nueva ventana)

It includes two chapters: (a) Horizontal collaboration and competition law guidelines; (b) Data protection & privacy in Europe (GDPR) guidelines.

"Testing results evaluation in Living Lab ""Synchromodality"" - led by Zailog" (se abrirá en una nueva ventana)

Report on the testing results evaluation in the Living Lab Synchromodality led by Zailog

Report on identified and specified data sets in the form of a data management plan (se abrirá en una nueva ventana)
LOGISTAR technologies market research (se abrirá en una nueva ventana)

It includes the “State of the art of IoT, Broad Data, Event detection, Cloud computing, Geographical Information modules, infrastructures for big data analytics” and the approach to follow on this technologies in LOGISTAR, considering the expectations of the European supply chain managers.

New/emerging Business Model Report - Release 1 (se abrirá en una nueva ventana)

This deliverable sets out potential future business models for logistics that are likely to emerge up to (say) 2030 and which LOGISTAR needs to take account of and including analysis of business models relating to collaboration and dynamic transport services (initial version).

Specifications of the data collections and enrichment pipelines (se abrirá en una nueva ventana)

Specifications of the data collections and enrichment pipelines.

"Testing results evaluation in Living Lab ""Dynamic Appointment Scheduling & Accurate ETA Calculation for LTL/FTL Trucks and Virtual Living Lab "" - led by Ahlers" (se abrirá en una nueva ventana)

Report on the testing results evaluation in the Living Lab Dynamic Appointment Scheduling Accurate ETA Calculation for LTLFTL Trucks and Virtual Living Lab led by Ahlers

State of the art in artificial intelligence techniques focussed on prediction (se abrirá en una nueva ventana)
Regulation report - Release 1 (se abrirá en una nueva ventana)

It includes two chapters: (a) Horizontal collaboration and competition law guidelines; (b) Data protection & privacy in Europe (GDPR) guidelines.

ORDP Open Research Data Pilot (se abrirá en una nueva ventana)

According to Article 29.3, LOGISTAR will guarantee the data utilised in scientific publications is reusable and accessible.

Project website and social network profiles (se abrirá en una nueva ventana)

The website will include details on its architecture and contents, together with the plans to keep it up to date throughout the project. The website will include among others: Publishable summaries, Dissemination material (articles, flyers, brochures, posters, banners and other material), and links to social network profiles.

Publicaciones

Partial Evaluation and Efficient Discarding for the Maximal Covering Location Problem (se abrirá en una nueva ventana)

Autores: Cynthia Porras, Jenny Fajardo, Alejandro Rosete, Antonio D. Masegosa
Publicado en: IEEE Access, Edición 9, 2021, Página(s) 20542-20556, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3055295

Popularity-similarity random SAT formulas (se abrirá en una nueva ventana)

Autores: Jesús Giráldez-Cru, Jordi Levy
Publicado en: Artificial Intelligence, Edición 299, 2021, Página(s) 103537, ISSN 0004-3702
Editor: Elsevier BV
DOI: 10.1016/j.artint.2021.103537

GDL as a unifying domain description language for declarative automated negotiation (se abrirá en una nueva ventana)

Autores: Dave de Jonge, Dongmo Zhang
Publicado en: Autonomous Agents and Multi-Agent Systems, Edición 35/1, 2021, ISSN 1387-2532
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10458-020-09491-6

Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics (se abrirá en una nueva ventana)

Autores: Pedro Lopez-Garcia, Antonio D. Masegosa, Eneko Osaba, Enrique Onieva, Asier Perallos
Publicado en: Applied Intelligence, Edición 49/8, 2019, Página(s) 2807-2822, ISSN 0924-669X
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10489-019-01423-6

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (se abrirá en una nueva ventana)

Autores: Toon Bogaerts, Antonio D. Masegosa, Juan S. Angarita-Zapata, Enrique Onieva, Peter Hellinckx
Publicado en: Transportation Research Part C: Emerging Technologies, Edición 112, 2020, Página(s) 62-77, ISSN 0968-090X
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2020.01.010

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019 (se abrirá en una nueva ventana)

Autores: Reyhan Aydoğan, Tim Baarslag, Katsuhide Fujita, Johnathan Mell, Jonathan Gratch, Dave de Jonge, Yasser Mohammad, Shinji Nakadai, Satoshi Morinaga, Hirotaka Osawa, Claus Aranha, Catholijn M. Jonker
Publicado en: Multi-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Thessaloniki, Greece, September 14-15, 2020, Revised Selected Papers, Edición 12520, 2020, Página(s) 366-381, ISBN 978-3-030-66411-4
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-66412-1_23

Deep Transfer Learning for Interpretable Chest X-Ray Diagnosis (se abrirá en una nueva ventana)

Autores: C. Lago, I. Lopez-Gazpio, E. Onieva
Publicado en: Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings, Edición 12886, 2021, Página(s) 524-537, ISBN 978-3-030-86270-1
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-86271-8_44

Optimization of Warehouse Layout for the Minimization of Operation Times (se abrirá en una nueva ventana)

Autores: Jon Díaz, Haizea Rodriguez, Jenny Fajardo-Calderín, Ignacio Angulo, Enrique Onieva
Publicado en: Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings, Edición 12886, 2021, Página(s) 649-658, ISBN 978-3-030-86270-1
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-86271-8_54

Waste Collection Vehicle Routing Problem Using Filling Predictions (se abrirá en una nueva ventana)

Autores: Haizea Rodriguez, Jon Díaz, Jenny Fajardo-Calderín, Asier Perallos, Enrique Onieva
Publicado en: Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings, Edición 12886, 2021, Página(s) 637-648, ISBN 978-3-030-86270-1
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-86271-8_53

The Challenge of Negotiation in the Game of Diplomacy (se abrirá en una nueva ventana)

Autores: Dave de Jonge, Tim Baarslag, Reyhan Aydoğan, Catholijn Jonker, Katsuhide Fujita, Takayuki Ito
Publicado en: Agreement Technologies - 6th International Conference, AT 2018, Bergen, Norway, December 6-7, 2018, Revised Selected Papers, Edición 11327, 2019, Página(s) 100-114, ISBN 978-3-030-17293-0
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-17294-7_8

Reducing SAT to Max2SAT (se abrirá en una nueva ventana)

Autores: Carlos Ansótegui, Jordi Levy
Publicado en: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021, Página(s) 1367-1373, ISBN 978-0-9992411-9-6
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2021/189

A Heuristic Algorithm for Multi-Agent Vehicle Routing with Automated Negotiation (se abrirá en una nueva ventana)

Autores: Dave de Jonge, Filippo Bistaffa, Jordi Levy
Publicado en: AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 2021
Editor: AAMAS
DOI: 10.5555/3463952.3464004

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks (se abrirá en una nueva ventana)

Autores: Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laña, Javier Del Ser
Publicado en: Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '19, 2019, Página(s) 1312-1320, ISBN 9781-450367486
Editor: ACM Press
DOI: 10.1145/3319619.3326847

Incremental Preference Elicitation for Horizontal Collaborationin Transport Operations

Autores: Federico Toffano, Nic Wilson
Publicado en: Multi-Objective Decision Making Workshop - 2021, 2021
Editor: IFAAMAS

Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation (se abrirá en una nueva ventana)

Autores: Federico Toffano, Paolo Viappiani, Nic Wilson
Publicado en: AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent, 2021
Editor: AAMAS
DOI: 10.5555/3463952.3464105

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