2016 INFORMS Annual Meeting Program

TA65

INFORMS Nashville – 2016

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, mous@purdue.edu 1 - A Distributed Algorithm For Solving Linear Algebraic Equations Shaoshuai Mou, Purdue University, mous@purdue.edu 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, Wenlong.Zhang@asu.edu 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, lichong0436213@gmail.com 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, capar@tamu.edu 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, sina.faridimehr@wayne.edu, 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, bkeskin@cba.ua.edu, 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, capar@tamu.edu, 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, jparsons4@unl.edu 1 - Flexible Stocking Strategies In A Variable Climate: From Research To Reality John Ritten, University of Wyoming, Laramie, WY, United States, john.ritten@uwyo.edu, 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, poreilly@mines.edu 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, hoy1@uci.edu 1 - Mobile App Analytics: Impact Of Popularity, Quality And Rank on Click And Conversion Performance Shengjun Mao, University of California - Irvine, shengjum@uci.edu 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.

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