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X-WR-CALDESC:Events for VeroLog
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DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210926
DTEND;VALUE=DATE:20210930
DTSTAMP:20260403T235454
CREATED:20210504T134241Z
LAST-MODIFIED:20210504T134241Z
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SUMMARY:ICCL2021: International Conference on Computational Logistics
DESCRIPTION:Call for Papers\nICCL2021: International Conference on Computational Logistics\nUniversity of Twente\, Enschede\, Netherlands\, September 26-29\, 2021\, conference website \nThe 12th International Conference on Computational Logistics will be held September 26-29\, 2021 at the University of Twente in Enschede\, The Netherlands (possibly virtually). In the tradition of the previous conferences\, the conference will focus on the theory and applications of operations research\, artificial intelligence\, and management science to problems in logistics. The theme of this edition is Artificial Intelligence for Logistics Management. \nTopics of the conference include among others: \n– Operations Research and Management in logistics\n– Routing problems\n– Emergency logistics\n– Reverse logistics\n– Crowd logistics\n– Freight transportation\n– Green supply chain\n– Metropolitan/city logistics\n– Smart Agro-Logistics\n– Uncertainty modeling in planning and control\n– Large-scale evolutionary optimization in logistics\n– Multi-agent systems in logistics\n– Self-organizing logistics\n– Internet of things in smart logistics\n– Artificial Intelligence in logistics\n– Machine learning applications in supply chain\n– Last generation ICT networks\n– Land and maritime smart logistics\n– ICT in logistics\n– Computational issues in foreign trade supply chains\n– Facility (re-)layout decision problems \nImportant Dates: \n– May 28\, 2021: Submission deadline full papers (conference proceedings)\n– June 18\, 2021: Submission deadline abstracts for presentation only\n– July 2\, 2021: Notifications of acceptance (for both full papers and abstracts)\n– July 16\, 2021: Deadline for submission camera-ready paper\n– August 6\, 2021: End of registration for presenters\n– September 10\, 2021: End of registration for participants \nSubmitted papers will be peer-reviewed and be provided in the following forms: \n– Full papers for publication in Springers Lecture Notes in Computer Science (LNCS).\n– Extended abstracts for presentation only.\nFurthermore\, a selection of papers will be invited for a special issue in a scientific journal (to be announced). \nConference Chairs: \n– Martijn Mes (m.r.k.mes@utwente.nl)\n– Eduardo Lalla-Ruiz (e.a.lalla@utwente.nl)\n– Stefan Voss (stefan.voss@uni-hamburg.de)
URL:https://verolog.euro-online.org/event/iccl2021-international-conference-on-computational-logistics/
CATEGORIES:Conferences and courses
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210711
DTEND;VALUE=DATE:20210715
DTSTAMP:20260403T235454
CREATED:20210118T133914Z
LAST-MODIFIED:20210118T133914Z
UID:1430-1625961600-1626307199@verolog.euro-online.org
SUMMARY:31st European Conference on Operational Research
DESCRIPTION:Further information can be found here.
URL:https://verolog.euro-online.org/event/31st-european-conference-on-operational-research/
CATEGORIES:Conferences and courses
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210615
DTEND;VALUE=DATE:20210619
DTSTAMP:20260403T235454
CREATED:20210204T090330Z
LAST-MODIFIED:20210204T090330Z
UID:1438-1623715200-1624060799@verolog.euro-online.org
SUMMARY:MESS 2020+1 - Metaheuristics Summer School
DESCRIPTION:Call for Participation \n———————————————————————-\n– MESS 2020+1 – Metaheuristics Summer School\n– Learning & Optimization from Big Data –\n15-18 June 2021\, Catania\, Italy\n(virtual and onsite mode) \nhttps://www.ANTs-lab.it/mess2020/\nmess.school@ANTs-lab.it\nhttps://www.facebook.com/groups/MetaheuristicsSchool/\n———————————————————————- \n** APPLICATION DEADLINE: 5th March 2021 ** \nhttps://www.ants-lab.it/mess2020/application/ \nMESS 2020+1 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers\, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques\, and an in-depth analysis of the state-of-the-art. The main theme of this edition is “Learning and Optimization from Big Data”\, therefore MESS 2020+1 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data. \nParticipants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. \n** LIST OF LECTURERS & LECTURES TITLES \n+ Paolo Arena\, Unviersity of Catania\, Italy\nLecture#1: TBA\nLecture#2: TBA \n+ Angelo Cangelosi\, University of Manchester & Alan Turing Institute\, UK\nLecture#1: Cognitive and Developmental Robotics\, part 1\nLecture#2: Cognitive and Developmental Robotics\, part 2 \n+ Swagatam Das\, Indian Statistical Institute\, Kolkata\nLecture#1: Deep Generative Adversarial Networks and Their Application to Class-imbalanced Learning\nLecture#2: Non-convex Constrained Optimization – Some Advanced Approaches \n+ Luca Maria Gambardella\, IDSIA Istituto Dalle Molle for Artificial Intelligence\, Switzerland\nLecture#1: TBA\nLecture#2:  TBA \n+ Salvatore Greco\, University of Catania\, Italy & University of Portsmouth\, UK\nLecture#1: Preference Learning in Multicriteria Decision Support\nLecture#2: Evolutionary Multiobjective Optimization Guided by Preference Learning \n+ Giuseppe F. Italiano\, Luiss University\, Italy\nLecture#1: TBA\nLecture#2: TBA \n+ Andrea Lodi\, Polytechnique Montréal\, Canada\nLecture#1: TBA\nLecture#2: TBA \n+ Rafael Martì\, University of Valencia\, Spain\nLecture#1: Optimization in Graph Drawing\nLecture#2: Models and Heuristics in Discrete Diversity Maximization \n+ Gabriela Ochoa\, University of Stirling\, UK\nLecture#1: Fitness Landscape Analysis\nLecture#2: Complex Networks in Search and Optimisation \n+ Mauricio Resende\, AMAZON\, USA\nLecture#1: GRASP with Path-Relinking for Real-World Optimization Problems\nLecture#2: Biased Random-Key Genetic Algorithms with Applications \n+ El-Ghazali Talbi\, University of Lille 1\, France\nLecture#1: Machine learning for metaheuristics\nLecture#2: Automated design of deep neural networks \n+ Daniele Vigo\, University of Bologna\, Italy\nLecture#1: Fast and scalable heuristics for vehicle routing problems\nLecture#2: Integrating machine learning into vehicle routing heuristics \n** METAHEURISTICS COMPETITION \nAll participants to the school will be involved in the “Metaheuristics Competition”\, where each of them will must develop a metaheuristic solution on the given problem. The top three of the competition ranking will receive the MESS 2020+1 prize. Students whose algorithm will rank in the top ten of the competition ranking will be invited to submit a manuscript of their work to be published in the special volume MESS 2020+1 of the AIRO Springer Series. \n** SHORT TALK & POSTER PRESENTATION \nAll participants may submit an abstract of their recent results\, or works in progress\, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. \nThe Abstracts must be submitted by *March 5\, 2020*. \n*See Previous Edition – MESS 2018* \nhttps://www.ants-lab.it/mess2018/ \n** MORE INFORMATION: \nhttps://www.ANTs-lab.it/mess2020/   —   mess.school@ANTs-lab.it \nFacebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ \nTwitter: https://twitter.com/MESS_school
URL:https://verolog.euro-online.org/event/mess-20201-metaheuristics-summer-school/
CATEGORIES:Conferences and courses
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210527T160000
DTEND;TZID=UTC:20210527T173000
DTSTAMP:20260403T235454
CREATED:20210412T124934Z
LAST-MODIFIED:20210412T124934Z
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SUMMARY:VeRoLog webinar (with Juan José Salazar González and Grazia Speranza)
DESCRIPTION:Plenary talk: “Split-demand vehicle routing problem: state of the art“\nJuan José Salazar González (Universidad de La Laguna) \nFollowed by an interview with\nGrazia Speranza (Università degli Studi di Brescia) \nFurther information can be found here.
URL:https://verolog.euro-online.org/event/verolog-webinar/
CATEGORIES:VeRoLog Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210429T160000
DTEND;TZID=UTC:20210429T173000
DTSTAMP:20260403T235454
CREATED:20210412T124710Z
LAST-MODIFIED:20210412T124710Z
UID:1554-1619712000-1619717400@verolog.euro-online.org
SUMMARY:First VeRoLog webinar (with VeRoLog coordinator Daniele Vigo and the organizing committee)
DESCRIPTION:Join us for the plenary of VeRoLog coordinator Daniele Vigo on “Integrating Machine Learning into state-of-the-art Vehicle Routing Heuristics” and meet the webinar organizing committee to learn about this new webinar series. \nFurther information can be found here.
URL:https://verolog.euro-online.org/event/first-verolog-webinar/
CATEGORIES:VeRoLog Webinar
ATTACH;FMTTYPE=image/jpeg:https://verolog.euro-online.org/wp-content/uploads/2021/04/IMG-20210405-WA0007.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210419
DTEND;VALUE=DATE:20210424
DTSTAMP:20260403T235454
CREATED:20210114T071036Z
LAST-MODIFIED:20210114T071036Z
UID:1427-1618790400-1619222399@verolog.euro-online.org
SUMMARY:1-week intensive online PhD course in Stochastic Programming
DESCRIPTION:Cluster for Operations Research\, Analytics\, and Logistics (CORAL) at Aarhus BSS has the pleasure of announcing a PhD course in Stochastic Programming\, which will take place online\, 19-23 April 2021. \nLecturer will be Professor Walter Rei\, Department of Management and Technology\, University of Quebec in Montreal (UQAM). \nThe general objectives of the course are: \n\nTo introduce students to the overall approach that is used to formulate an optimization problem that involves uncertainty as a stochastic program. This approach entails\, identifying the specific problems for which stochastic programming is an appropriate method to apply\, modelling feasibility and the dynamics of the problem and formulating the objective function.\nTo present the main specialized solution methods that have been developed to solve stochastic programs. Specifically\, a review of the principal exact solution methods and heuristic algorithms will be provided. The focus here will be to present how more efficient solution processes can be obtained by applying a series of tailored strategies\, i.e.\, scenario generation\, mathematical decomposition\, heuristic search principles\, etc.\n\nProfessor Sanne Wøhlk from CORAL is the academic organiser\, so please feel free to contact her if you have any questions regarding the contents of the course. \nPlease see the website for more information and registration:  DGPE PhD course: Introduction to Stochastic Programming (au.dk)
URL:https://verolog.euro-online.org/event/1-week-intensive-online-phd-course-in-stochastic-programming/
CATEGORIES:Conferences and courses
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