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PRODID:-//EU/ME – EURO Working Group on Metaheuristics - ECPv6.5.1.5//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://eume.euro-online.org
X-WR-CALDESC:Events for EU/ME – EURO Working Group on Metaheuristics
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TZID:UTC
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TZOFFSETFROM:+0000
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TZNAME:UTC
DTSTART:20190101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20190623
DTEND;VALUE=DATE:20190627
DTSTAMP:20260408T223408
CREATED:20181025T072920Z
LAST-MODIFIED:20181025T072920Z
UID:456-1561248000-1561593599@eume.euro-online.org
SUMMARY:EURO30 - Dublin
DESCRIPTION:EURO-k conferences are the major EURO events. They are international forums for scientific communication and cooperation among Operational Researchers\, not only from European countries\, who are active in all the diverse areas of OR\, and to serve the free exchange of new ideas and promising research results. \n\nthey are broadly oriented and have recently attracted more than 2\,000 participants.\nthey take place yearly\, with the possible exception of the years when there is an IFORS triennial conference. Information about past conferences is available.\nthey are hosted by EURO member societies. They are usually held in a university or similar type of institution.\nthey usually take place in summer during the first half of July\n\nConference Structure\nEURO-k conferences feature multiple activities around OR\, including scientific presentations of the following types: \n\nPlenary\, semi-plenary\, tutorial and panel sessions given by prestigious invited speakers.\nRegular streams\, defined as blocks of sessions within a thematic OR area. Sessions can be invited or contributed. Contributed paper presentations are welcomed and processed by the PC.\nMaking an Impact stream. This is a series of participative activities aimed at helping practitioners to become more effective.\nOR Education stream focusing on best practices for teaching OR.\n\nIn addition\, EURO-k conferences feature some special events\, including the following: \n\nAwards of EURO prizes. The EURO Distinguished Service Medal Award and the EURO Gold Medal\, accompanied by a lecture of the Gold Medal laureate\, are presented at the Opening Session. The presentations of the finalists of the EURO Excellence in Practice Award and the EURO Doctoral Dissertation Award are scheduled as parallel sessions. These prizes are awarded to the winners during the Closing Session along with the winners of the EURO Award for the Best EJOR Papers.\nExhibitors Area.\nPossibility of visits to companies where OR is used in daily actvities.
URL:https://eume.euro-online.org/event/euro30-june-2019-dublin-ireland/
LOCATION:university college Dublin\, Belfield Downs\, Dublin\, D14 YH57\, Ireland
CATEGORIES:Conferences
ATTACH;FMTTYPE=image/png:https://eume.euro-online.org/wp-content/uploads/2018/10/logo-euro30.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190701
DTEND;VALUE=DATE:20190706
DTSTAMP:20260408T223408
CREATED:20190321T072542Z
LAST-MODIFIED:20190321T072542Z
UID:507-1561939200-1562371199@eume.euro-online.org
SUMMARY:Summer School in Vienna
DESCRIPTION:We invite students\, researchers and practitioners in the broad field of optimisation to participate at the 15th Summer School on Constraint Programming (CP)\, held in Vienna\, Austria.\nThis year’s topic is “Applying Constraint Programming” with a strong focus on CP tools\, building and extending constraint solvers\, decomposition\, hybridisation and successful applications of CP on hard real-world problems.\nThe summer school will include practical labs and a hackathon-style challenge to maximise the learning experience. \nEarly bird registration until: April 30\, 2019\nOrganisers:\n\nchair: Andrea Rendl\, Satalia\nco-chair: Tommaso Urli\, Satalia\n\nAssociation for Constraint Programming (ACP): http://a4cp.org
URL:https://eume.euro-online.org/event/507/
LOCATION:Loffice Wien\, Schottenfeldgasse 85\, Vienna\, 1070\, Austria
CATEGORIES:Schools
ATTACH;FMTTYPE=image/jpeg:https://eume.euro-online.org/wp-content/uploads/2019/03/banner-scaled.jpg
ORGANIZER;CN="Association for Constraint Programming":MAILTO:acpsummer2019@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190715
DTEND;VALUE=DATE:20190720
DTSTAMP:20260408T223408
CREATED:20181117T071751Z
LAST-MODIFIED:20181117T071751Z
UID:486-1563148800-1563580799@eume.euro-online.org
SUMMARY:INFORMS TSL Workshop 2019 in Vienna
DESCRIPTION:tslworkshop2019.univie.ac.at \nThe next INFORMS TSL Workshop will be held from July 15-19\, 2019 at the University of Vienna. The topic of the workshop is “Transportation in the sharing economy”. Sharing economy refers to collaborative consumption. It is typically organized through platforms that facilitate the exchange of goods or services. Given an increasing pressure to act economically and ecologically efficient\, mechanisms that help to benefit from idle capacities are on the rise. Both transportation companies and heavy users of transportation services need to learn how to play in a world of shared idle capacities. We anticipate talks on various types of collaborations\, crowd delivery\, carsharing\, carpooling\, ridesharing\, etc. \n======= Topics ======= \nWe will welcome contributions that address modeling\, methodological or game theoretical aspects. Possible topics are (but not limited to): \n* Collaborative and cooperative transportation \n* Crowd shipping or sourcing \n* Car-\, bike-\, or ride sharing \n* Car and bike repositioning \n* Car pooling \n* Intermodal and multimodal transportation \n* Synchromodality and the physical internet \n* Business model developments in the sharing economy \n* Shared mobility services \n================ Important dates ================ \nSubmission deadline: January 15\, 2019 \nNotification: February 28\, 2019 \nEarly registration deadline: March 31\, 2019 \n============ Submissions ============ \nAbstracts should be as complete as possible\, no less than 2 pages and not exceeding more than 3 pages. ­Abstract submissions will be handled via EasyChair: easychair.org/conferences/?conf=tsl2019 \n================ Keynote speakers ================ \nMartin Bichler (Technical University of Munich) \nMichal Tzur (Tel Aviv University) \n==================== Organizing Committee ==================== \nMargaretha Gansterer \nKarl Dörner \nRichard Hartl \nRudolf Vetschera
URL:https://eume.euro-online.org/event/informs_tsl/
LOCATION:University of Vienna\, Oskar-Morgenstern-Platz 1\, Wien\, A-1090\, Austria
ATTACH;FMTTYPE=image/jpeg:https://eume.euro-online.org/wp-content/uploads/2018/11/csm_Frontansicht_Flaggen_01_49e47ff8d5.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190728
DTEND;VALUE=DATE:20190801
DTSTAMP:20260408T223408
CREATED:20180703T073609Z
LAST-MODIFIED:20180703T073609Z
UID:443-1564272000-1564617599@eume.euro-online.org
SUMMARY:MIC 2019\, Cartagena
DESCRIPTION:13th Metaheuristics International Conference (MIC 2019)\n\n \n\nDates: July 28 – July 31 (2019)\nWebsite: https://mic2019.uniandes.edu.co/\n\nVenue: Universidad de los Andes (sede Caribe)\nCity: Cartagena\, Colombia\n\nSAVE THE DATE\n13th Metaheuristics International Conference\nUniversidad de los Andes (sede Caribe)\nJuly 28-31\, 2019\nCartagena de Indias (Colombia)\nmh2019@easychair.org\n\nEarly bird due date: April 30\, 2019\nLate registration: From April 31\, 2019
URL:https://eume.euro-online.org/event/13th-metaheuristics-international-conference-mic-2019/
LOCATION:Universidad de los Andes (sede Caribe)\, Cartagena\, Colombia
ATTACH;FMTTYPE=image/png:https://eume.euro-online.org/wp-content/uploads/2018/07/Screenshot_2018-07-03_09-41-42-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20200727
DTEND;VALUE=DATE:20200801
DTSTAMP:20260408T223408
CREATED:20200211T141324Z
LAST-MODIFIED:20200211T141324Z
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SUMMARY:MESS 2020 ~ Learning & Optimization from Big Data ~ Catania\, 27-31 July 2020
DESCRIPTION:MESS 2020 – Metaheuristics Summer School\n– Learning & Optimization from Big Data –\n27-31 July 2020\, Catania\, Italy \nMESS 2020 Webpage\nmess.school@ANTs-lab.it\nMESS on Facebook\n———————————————————————– \n*** ONCE MONTH LEFT!!! *** \n** APPLICATION DEADLINE: 5th March 2020 **\nhttps://www.ants-lab.it/mess2020/application/ \nMESS 2020 is aimed at qualified and strongly motivated MSc and PhD\nstudents; post-docs; young researchers\, and both academic and\nindustrial professionals to provide an overview on the several\nmetaheuristics techniques\, and an in-depth analysis of the\nstate-of-the-art. The main theme of the 2020 edition is ?Learning and\nOptimization from Big Data?\, therefore MESS 2020 wants to focus on (i)\nLearning for Metaheuristics; (ii) Optimization in Machine Learning;\nand (iii) how Optimization and Learning affect the Metaheuristics\nmaking them relevant in handling Big Data. \nAll participants will have plenty of opportunities for debate and work\nwith leaders in the field\, benefiting from direct interaction and\ndiscussions in a stimulating environment. They will also have the\npossibility to present their recently results and/or their working in\nprogress through oral or poster presentations\, and interact with their\nscientific peers\, in a friendly and constructive environment. \nParticipants will be delivered a certificate of attendance indicating\nthe number of hours of lectures (36-40 hours of lectures). In\naccording to the academic system all PhD and master students attending\nto the summer school will may get 8 ECTS points. \n** LIST OF LECTURERS \n+ Angelo Cangelosi\, University of Manchester & Alan Turing Institute\, UK\n+ Swagatam Das\, Indian Statistical Institute\, Kolkata\n+ Luca Maria Gambardella\, IDSIA Istituto Dalle Molle for Artificial\nIntelligence\, Switzerland\n+ Salvatore Greco\, University of Catania\, Italy & University of Portsmouth\, UK\n+ Emma Hart\, Edinburgh Napier University\, UK\n+ Mauricio Resende\, AMAZON\, USA\n+ Roman Slowinski\, Pozna? University of Technology\, Poland\n+ El-Ghazali Talbi\, University of Lille 1\, France\n+ Daniele Vigo\, University of Bologna\, Italy \nMore Lecturers will be announced soon. \n** SCHOOL DIRECTORS \n+ Pascal Bouvry\, University of Luxembourg\, Luxembourg\n+ Salvatore Greco\, University of Catania\, Italy\n+ Ender Ozcan\, University of Nottingham\, UK\n+ Mario Pavone\, University of Catania\, Italy\n+ El-Ghazali Talbi\, University of Lille 1\, France\n+ Daniele Vigo\, University of Bologna\, Italy \n** METAHEURISTICS COMPETITION \nAll participants to the school will be involved in the ?Metaheuristics\nCompetition?\, where each of them will must develop a metaheuristic\nsolution on the given problem. The top three of the competition\nranking will receive the MESS 2020 prize. Students whose algorithm\nwill rank in the first five top of the competition ranking\, will be\ninvited to submit a report/manuscript of their work to be published in\nthe special MESS 2020 Volume of the AIRO Springer Series. \n** METAHEURISTICS COMPETITION CHAIRS \n+ Raffaele Cerulli\, University of Salerno\, Italy\n+ Andrea Schaerf\, University of Udine\, Italy \n** SHORT TALK & POSTER PRESENTATION \nAll participants may submit an abstract of their recent results\, or\nworks in progress\, for presentation and having the opportunities for\ndebate and interact with leaders in the field. Mini-Workshop\nOrganizers and Scientific Committee will review the abstracts and will\nrecommend for the format of the presentation (oral or poster). All\nabstracts will be published on the electronic hands-out book of the\nsummer school. \nThe Abstracts must be submitted by *March 5\, 2020*. \n** WORKSHOP CHAIRS \n+ Vincenzo Cutello\, University of Catania\, Italy\n+ Paola Festa\, University of Naples ?Federico II?\, Italy\n+ Isaac Triguero\, University of Nottingham\, UK \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://eume.euro-online.org/event/mess-2020-learning-optimization-from-big-data-catania-27-31-july-2020/
LOCATION:Events
CATEGORIES:Schools
ATTACH;FMTTYPE=image/jpeg:https://eume.euro-online.org/wp-content/uploads/2020/02/cropped-img-title-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210615
DTEND;VALUE=DATE:20210619
DTSTAMP:20260408T223408
CREATED:20210128T105224Z
LAST-MODIFIED:20210128T105224Z
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SUMMARY:MESS 2020+1 ~ Learning & Optimization from Big Data ~ 15-18 June 2021
DESCRIPTION:———————————————————————– \nMESS 2020+1 – Metaheuristics Summer School\n– Learning & Optimization from Big Data –\n15-18 June 2021\, Catania\, Italy (virtual and onsite mode) \nhttps://www.ANTs-lab.it/mess2020/ \nmess.school@ANTs-lab.it \nhttps://www.facebook.com/groups/MetaheuristicsSchool/ ———————————————————————– \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+ 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 Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school
URL:https://eume.euro-online.org/event/mess-20201-learning-optimization-from-big-data-15-18-june-2021/
LOCATION:Events
END:VEVENT
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