Summer School on Operational Research and Applications
The Summer School on Operational Research and Applications will take place on May 10 – 14, 2017 in Nizhny Novgorod, Russia. The school is organized by
the Laboratory of Algorithms and Technologies for Networks Analysis and Faculty of Informatics, Mathematics and Computer Science of the National Research University Higher School of Economics, Nizhny Novgorod.
The main topics of the school are related to practical algorithms in logistics, transportation and traffic management, scheduling, decision science, and stochastic programming.
The school is hosted by the National Research University Higher School of Economics in Nizhny Novgorod (Room 209, 136 Rodionova Str). The school follows the tradition of previous summer schools on operational research and applications 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016:
The school is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register before April 20, 2017. Students are also encouraged to present the recent results of their research related to the topics of the summer school. Selected school papers will be published in a conference NET 2017 proceeding (indexed in Scopus).
If you have any questions, please do not hesitate to contact us: firstname.lastname@example.org (Irina Utkina).
Registration / Abstract submission April 30 / April 02
Notification acceptance: April 30
Summer School: May 10-14
Mikhail Khachay, Institute of Mathematics and Mechanics of Russian Academy of Science, Ural Branch, Ekaterinburg
Lecture 1: Deterministic approximation algorithms and PTAS for the Traveling Salesman Problem and its generalizations
Lecture 2: Randomized approximation algorithms for TSP and its generalization
Lecture 3: Polynomial time approximation schemes for Vehicle Routing Problems
Ilias Kotsireas, Wilfrid Laurier University, Ontario, Canada
Lecture 1: Introduction to high-performance computing (HPC) and Parallel Programming
Lecture 2: Meta-programming with Maple
Seminar: Low Autocorrelation Binary Sequences (LABS)
Alexander Lazarev, Institute of Control Science of Russian Academy of Science, Moscow
Lecture 1: Scheduling Theory and Applications
Lecture 2: Scheduling Theory and Applications
Lecture 3: Scheduling Theory and Applications
Lecture: On Objective Function Representation Methods in Optimization
Jun Pei, School of Management, Hefei University of Technology, Hefei City, China
Lecture 1: Study of coordinated scheduling and transportation based on serial-batching
Lecture 2: Serial batching scheduling of deteriorating jobs to minimize the makespan
Seminar: Data-driven scheduling in manufacturing
Stefan Pickl, Universität der Bundeswehr München, Germany
Co-Chairs of the school
Panos M. Pardalos University of Florida and LATNA, HSE
Natalia Aseeva, HSE, Nizhny Novgorod
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