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VT INFORMS Technical Workshop (flyer)
Julia and ATOM Help/Troubleshooting Open Hours
Paul Bartholomew, Ph.D. Candidate, ISE
Our first in many anticipated technical workshops will help students with using a new dynamic programming language, Julia. Julia is a growing way for OR specialists to model and solve complex optimization models.
This workshop will first direct student on the steps to downloading and running the free ATOM program (available at atom.io), which serves as an interface for using Julia. The necessary and useful packages to allow for optimization in ATOM will be presented, along with instruction for installation. The second half of the workshop will be a open hours to answer questions from installation to syntax of Julia optimization. We will step through how to model, solve, and output solutions in ATOM, using the Julia language.
Instructions and example formulations will be provided, however to follow along, please download ATOM (at atom.io).
7th Annual ISE International Night (flyer)
WHO: All ISE undergraduate and graduate students, faculty and staff are invited.
WHAT: Come hear students and faculty presentations on their international heritage and study abroad experiences
Free Hot Drinks and Desserts are provided!
INGERSOLL-RAND Endowed Lecture: Dr. David Goldsman (flyer)
"A New Look at Two Classical Problems in Simulation Analysis: Steady-State Confidence Intervals and Selection of the Most-Probable Alternative"
A New Look at Two Classical Problems in Simulation Analysis: Steady-State Confidence Intervals and Selection of the Most-Probable Alternative
We discuss recent advances in two bellwether problem areas in computer simulation. We first study confidence intervals (CIs) for the mean of steady-state simulation output – a difficult problem since such data (e.g., consecutive customer waiting times) are never independent nor normally distributed, so that analysis is not amenable to standard statistical methods. To this end, we discuss new CIs based on the methods of batch means, overlapping batch means, and standardized time series that incorporate various jackknifing and bootstrapping tricks; and we show that the CIs are shorter and more stable than their predecessors.
We next consider the related problem of selecting the best alternative among a set of competitors, e.g., which simulation scenario is most likely to yield the best outcome? To do so, we propose linear and mixed-integer linear programming formulations of the selection problem that minimize the expected number of simulation runs that need to be performed in order to achieve a certain probability of correct selection. Moreover, we present generalizations of the formulations that take into account different cost structures for the observations.
David M. Goldsman is a Professor in the School of Industrial and Systems Engineering at Georgia Tech. He received his Ph.D. in 1984 from Cornell University,and has held visiting positions at Cornell, Northwestern, Oklahoma, Boğaziçi, Özyeğin, and Sabancı Universities. His research interests include simulation output analysis, statistical ranking and selection methods, and medical and humanitarian applications of operations research. Dave received the INFORMS Simulation Society's Distinguished Service Award in 2002, and has held a variety of INFORMS elected and volunteer offices. Dave has held a number of editorial positions with the top journals in Operations Research and Statistics. He was also awarded a Fulbright fellowship in 2006 to lecture at Boğaziçi and Sabancı Universities in Istanbul, Turkey. Dave is a Fellow of the Institute of Industrial and Systems Engineering.
3rd Annual Torgersen Leadership Summit
The VT IISE would like to encourage students to register for the 3rd Annual Torgersen Leadership Summit (TLS). It will include two key note speakers, three breakout sessions/interactive workshops, and a networking reception with catered refreshments.
Please RSVP and send $10 refundable fee by February 17.
Go to the VT IISE website for more information.
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