2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
255
TA62
Cumberland 3- Omni
Distributed Control of Multi-Agent Networks
Sponsored: Aviation Applications
Sponsored Session
Chair: Shaoshuai Mou, Purdue University, 701 W. Stadium Ave., West
Lafayette, IN, 47907-2045, United States,
1 - A Distributed Algorithm For Solving Linear Algebraic Equations
Shaoshuai Mou, Purdue University,
Solving linear algebraic equations is perhaps one of the most fundamental
problems in all fields. Besides allowing decomposing a large linear equations into
smaller ones to be cooperatively solved by a mutli-agent network, distributed
algorithms for solving large linear equations only require each agent to know part
of the linear equation, and can only communicate with its nearby neighbors. The
distributed algorithm to presented (1.) is applicable to all linear equations; (2)
converges exponentially fast; (3) works for time-varying networks; (4) allows
asynchronous operations; (5) does not involve any time-varying step size.
2 - Control And Coordination Of Quadrotors
Wenlong Zhang, Arizona State University,
Quadrotors have attracted a lot of attentions in recent years due to its low cost
and wide range of applications in product delivery, mapping, and surveillance.
This talk will cover the estimation and control techniques to enable smooth
operation of individual quadrotors. Moreover, design and coordination algorithms
of a multi-quadcopter team will be introduced for enhanced capabilities and
resilience.
3 - Stochastic Scheduling Estimation Of Multiple Discrete-time Linear
Time Invariant Systems
Chong Li, Staff Research Engineer, Qualcomm Research &
Development, Bridgewater, NJ, United States,
We proposed a stochastic scheduling strategy for estimating the states of multiple
discrete-time linear time invariant dynamic systems, where only one system can
be observed by the sensor at each time instant due to practical resource
constraints. The idea of our stochastic strategy is that a system is randomly
selected for observation at each time instant according to a pre-assigned
probability distribution. We find the optimal pre-assigned probability in order to
minimize the maximal estimate error covariance among dynamic systems. Finally,
for scheduling implementation, we propose centralized and distributed
deterministic scheduling strategies based on the optimal stochastic solution.
TA63
Cumberland 5- Omni
Alternative Fuel Refueling Location Problems
Sponsored: Location Analysis
Sponsored Session
Chair: Ismail Capar, Texas A&M University, TAMU 3367, College
Station, TX, 77843, United States,
1 - Community-aware Charging Station Network Design For
Electrified Vehicles In Urban Areas: Improving Accessibility,
Reducing Emissions, And Promoting Walking
Sina Faridimehr, Wayne State University,
, Saravanan Venkatachalam,
Ratna Babu Chinnam
Advantages of electric vehicles (EVs) include reduction of greenhouse gas and
other emissions, energy security, and fuel economy. The societal benefits of large-
scale adoption of EVs cannot be realized without adequate deployment of publicly
accessible charging stations. In our research, we develop stochastic programming
models to determine optimal infrastructure of charging stations for a community
considering the uncertainties in state of charge for vehicles, arrival data based on
origin-destination pairs, and walkable range within a community. We conducted
computational experiments using various publicly available data sources.
2 - Capacitated Hydrogen Refueling Station Location Problem With
Traffic Deviations Over Multiple Time Periods
Burcu Keskin, The University of Alabama at Tuscaloosa,
Mohammad Miralinaghi, Yingyan Lou,
Arash M. Roshandeh
Construction of refueling stations is a major step toward the promotion of
hydrogen fuel vehicles. In this study, we consider the problem of locating
hydrogen refueling stations in a traffic network for intra-city trips via
mathematical programming. The central planner aims to minimize the total
system travel cost, including construction costs, operational costs and total system
travel time cost. It is formulated as a mixed-integer linear model which is solved
using Lagrangian relaxation and branch-and-bound algorithms. Numerical results
demonstrate that refueling station location pattern can change with considering
multi-period travel demand.
3 - Transnational Infrastructure Planning For Natural Gas Trucking
Ismail Capar, Texas A&M University, ,
Michael J Kuby, Jong-Geun Kim
The European Union relies on oil for over 90% of its transportation fuels and
spends one billion Euros a day on imported oil. To reduce this dependency, the
EU is developing an integrated market for compressed (CNG) and liquefied (LNG)
natural gas as alternatives to diesel for long-haul trucking. Motivated by this
objective, we use forecasted road freight data from EU TransTools, and introduce
several new side constraints for the flow-refueling location model to produce a
more equitable distribution of covered flows across EU members.
TA64
Cumberland 6- Omni
Multi-Criteria Decision Making in Agriculture
Sponsored: Multiple Criteria Decision Making
Sponsored Session
Chair: Jay Parsons, University of Nebraska-Lincoln, Lincoln, NE,
United States,
1 - Flexible Stocking Strategies In A Variable Climate:
From Research To Reality
John Ritten, University of Wyoming, Laramie, WY, United States,
Justin Derner, Christopher Bastian,
John Tanaka, David Agustine, Lauren Porensky, Mark Eisele,
Kendall Roberts
Livestock producers must make decisions in a rapidly changing world.
Precipitation-induced variability on forage production often makes it difficult to
effectively match animal demand with forage availability. Weather events interact
with price cycle dynamics creating additional difficulty for producers to react
optimally to changing conditions. Further complicating the process is carry-over
effects such as residual forage and soil moisture that can impact production.
Consideration needs to be given to minimizing degradation of range resources,
while also ensuring long-term economic viability.
2 - A Network Comparison Of Competing Institutions For Managing
Water Against Hydropower And Irrigation Demands
Patrick O’Reilly, PhD Candidate, Mineral and Energy Economics,
Colorado School of Mines, Golden, CO, United States,
Using a variational inequality approach, this paper investigates transaction cost
consequences of choosing between alternative water institutions in light of their
respective network structure, uncertain supply, and competing demands. Network
formulation can reflect spatial, precedence, and institutional features associated
with the flow of water through rivers, hydropower stations, and irrigated
farmland. Preliminary boundary case results reflect what transaction cost theory
suggests: where water rights can be made sufficiently complete, a centrally-
planned approach does not fare better than a decentralized market equilibrium.
TA65
Mockingbird 1- Omni
Analytical and Empirical Analyses of Digital Markets
Sponsored: Information Systems
Sponsored Session
Chair: Yi-Jen Ho, Pennsylvania State University, Pennsylvania State
University, University Park, PA, 16801, United States,
1 - Mobile App Analytics: Impact Of Popularity, Quality And Rank on
Click And Conversion Performance
Shengjun Mao, University of California - Irvine,
The explosion in number and variety of mobile apps makes finding desirable ones
a challenge, which in turn brings the significance for apps distributers to
effectively display the apps. To understand users’ response to the listings of posted
apps, we study the role of apps’ quality, popularity and positions in handsets
screens on users’ click and download decisions based on a panel date set from an
app recommendation engine. We found that when users make decisions to click
an app, there are positive quality and popularity effects and negative position
effect. However, when users decide whether or not to download apps, quality and
popularity effects disappear and position effects becomes positive.
TA65