Operations Research - 2018 Xiong, Y., Shi, J., Yang, Y., Lv, Y., & Rouskas, G. N. (2018). Lightpath Management in SDN-Based Elastic Optical Networks With Power Consumption Considerations. Journal of Lightwave Technology, 36(9), 1650–1660. https://doi.org/10.1109/JLT.2017.2785410 Ziarnetzky, T., Monch, L., & Uzsoy, R. (2018, May). Production Planning Models with Chance Constraints and Advance Demand Information. Presented at the IISE Annual Conference, Orlando, FL. Bansal, A., Uzsoy, R., & Kempf, K. G. (2018, November). Coordinating Capacity Negotiations In Semiconductor Industry. Presented at the INFORMS National Meeting, Phoenix, AZ. Sengul Orgut, I., Ivy, J. S., & Uzsoy, R. (2018, November). Modeling for the Equitable and Effective Distribution of Food Donations Under Stochastic Capacities. Presented at the INFORMS National Meeting, Phoenix, AZ. Sengul Orgut, I., Ivy, J. S., Uzsoy, R., & Hale, C. (2018, November). Robust Optimization Approaches for the Equitable and Effective Distribution of Donated Food. Presented at the INFORMS National Meeting, Phoenix, AZ. Kacar, N. B., Munch, L., & Uzsoy, R. (2018). Problem Reduction Approaches for Production Planning Using Clearing Functions. Presented at the 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). https://doi.org/10.1109/coase.2018.8560429 Gopalswamy, K., & Uzsoy, R. (2018). AN EXPLORATORY COMPARISON OF CLEARING FUNCTION AND DATA-DRIVEN PRODUCTION PLANNING MODELS. Presented at the 2018 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc.2018.8632371 Manda, A. B., & Uzsoy, R. (2018). SIMULATION OPTIMIZATION FOR PLANNING PRODUCT TRANSITIONS IN SEMICONDUCTOR MANUFACTURING FACILITIES. Presented at the 2018 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc.2018.8632253 Manda, A. B., & Uzsoy, R. (2018, November). A Review of Product Ramping Models in Semiconductor Manufacturing. Presented at the INFORMS National Meeting, Phoenix, AZ. Manda, A. B., & Uzsoy, R. (2018, November). Planning Releases During Product Transitions in Semiconductor Manufacturing. Presented at the INFORMS National Meeting, Phoenix, AZ. Gopalswamy, K., & Uzsoy, R. (2018, November). Conic Reformulations of Production Planning Problems with Clearing Functions. Presented at the INFORMS National Meeting, Phoenix, AZ. Medhin, N., & Uzsoy, R. (2018). Production Planning and Engineering Process Improvement. Communications in Applied Analysis, 22(4), 583–596. Uzsoy, R. (2018). Editorial 2017 Best Paper Award. IEEE Transactions on Semiconductor Manufacturing, 31(3), 325–325. https://doi.org/10.1109/TSM.2018.2852818 An, Q., Fang, S.-C., Jiang, S., & Lavery, J. E. (2018). L1-norm based Major Component Detection and Analysis for Asymmetric Radial Data. International Journal of Operations Research, 15, 89–100. https://doi.org/10.6886/IJOR.201809_15(3).0001 Roise, J. P., & Barker, R. (2018). Lab and Field Testing of the New Advance Material Fire Shelter. Presented at the International Association of Wildland Fire, Asheville, NC. Handfield, R. (2018). The US Needs to Step Up Biobased Investment to Catch Up with the Rest of the World. Industrial Biotechnology, 14(2), 81–82. https://doi.org/10.1089/ind.2018.29123.rha Handfield, R. (2018). Patient-focused network integration in BioPharma: Strategic imperatives for the years ahead. In Patient-Focused Network Integration in BioPharma: Strategic Imperatives for the Years Ahead (pp. 1–173). https://doi.org/10.4324/9781315300337 An, Q., Fang, S.-C., Nie, T., & Jiang, S. (2018). ℓ1-Norm Based Central Point Analysis for Asymmetric Radial Data. Annals of Data Science, 5(3), 469–486. https://doi.org/10.1007/S40745-018-0147-2 Yuan, C., & Wu, F. (2018). Cooperative state estimation of multi-agent systems subject to bounded external disturbances. International Journal of Systems Science, 49(9), 1985–1996. https://doi.org/10.1080/00207721.2018.1482380 Perros, H., Papapanagiotou, I., & Pujolle, G. (2018). Cloud communications and networking. Annals of Telecommunications, 73(3-4), 165–167. https://doi.org/10.1007/S12243-018-0630-Y Verhagen, H., Neumann, M., & Singh, M. P. (2018). Normative Multiagent Systems: Foundations and History. In A. Chopra, L. van der Torre, H. Verhagen, & S. Villata (Eds.), Handbook of Normative Multiagent Systems (pp. 3–25). London: College Publications. Christie, S. H., V, Chopra, A. K., & Singh, M. P. (2018). Compositional Correctness in Multiagent Interactions. Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 1159–1167. Retrieved from https://eprints.lancs.ac.uk/id/eprint/123578/ Tran, H., & Arnold, A. (2018). Ensemble Kalman Filtering for Inverse Optimal Control. In S.-long Ao, O. Castillo, C. Douglas, D. D. Feng, & A. Korunsky (Eds.), International MultiConference of Engineers and Computer Scientists : IMECS 2018: 14-16 March, 2018, the Royal Garden Hotel, Kowloon, Hong Kong: Vol. II (pp. 526–530). Hong Kong: Newswood Limited, International Association of Engineers. Uzsoy, R., Fowler, J. W., & Mönch, L. (2018). A survey of semiconductor supply chain models Part II: demand planning, inventory management, and capacity planning. International Journal of Production Research, 56(13), 4546–4564. https://doi.org/10.1080/00207543.2018.1424363 Luo, J., Hong, T., & Fang, S.-C. (2018). Benchmarking robustness of load forecasting models under data integrity attacks. International Journal of Forecasting, 34(1), 89–104. https://doi.org/10.1016/J.IJFORECAST.2017.08.004 Jiang, S., Fang, S.-C., Nie, T., & An, Q. (2018). Structured linear reformulation of binary quadratically constrained quadratic programs. Optimization Letters, 11. https://doi.org/10.1007/S11590-018-1361-8 Chopra, A. K., & SIngh, M. P. (2018). Sociotechnical Systems and Ethics in the Large. Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES '18. Presented at the the 2018 AAAI/ACM Conference. https://doi.org/10.1145/3278721.3278740 Guo, H., Kafali, O., & Singh, M. (2018). Extraction of Natural Language Requirements from Breach Reports Using Event Inference. 2018 5th International Workshop on Artificial Intelligence for Requirements Engineering (AIRE). Presented at the 2018 5th International Workshop on Artificial Intelligence for Requirements Engineering (AIRE). https://doi.org/10.1109/aire.2018.00009 Ajmeri, N., Guo, H., Murukannaiah, P. K., & Singh, M. P. (2018). Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. Presented at the Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. https://doi.org/10.24963/ijcai.2018/4 Zhang, Z., & Singh, M. (2018). Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Presented at the Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/d18-1378 Teaching Crowdsourcing: An Experience Report. (2018). IEEE Internet Computing. https://doi.org/10.1109/MIC.2018.2881515 Mendling, J., Dustdar, S., Gal, A., García-Bañuelos, L., Governatori, G., Hull, R., … Dumas, M. (2018). Blockchains for Business Process Management - Challenges and Opportunities. ACM Transactions on Management Information Systems, 9(1), 1–16. https://doi.org/10.1145/3183367 A Conceptual Framework for Engineering Chatbots. (2018). IEEE Internet Computing. https://doi.org/10.1109/MIC.2018.2877827 Aston, P., Cranfield, K., O’Farrell, H., Cassenote, A., Mendes-Correa, C. J., Segurado, A., … Tran, H. (2018). Hepatitis C Viral Dynamics Using a Combination Therapy of Interferon, Ribavirin, and Telaprevir: Mathematical Modeling and Model Validation. In Hepatitis C - From Infection to Cure. https://doi.org/10.5772/intechopen.75761 Nguyen, T. M., Guillen, A. T., Matsunaga, S. S., Tran, H. T., & Bui, T. X. (2018). War-Gaming Applications for Achieving Optimum Acquisition of Future Space Systems. In Simulation and Gaming. https://doi.org/10.5772/intechopen.71044 Rutter, E. M., Langdale, C. L., Hokanson, J. A., Hamilton, F., Tran, H., Grill, W. M., & Flores, K. B. (2018). Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse Regression. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(8), 1636–1644. https://doi.org/10.1109/tnsre.2018.2854675 Murad, N., Tran, H. T., & Banks, H. T. (2018). Optimal control of immunosuppressants in renal transplant recipients susceptible to BKV infection. Optimal Control Applications and Methods, 40(2), 292–309. https://doi.org/10.1002/oca.2478 Moheb-Alizadeh, H., & Handfield, R. (2018). The Impact of Raw Materials Price Volatility on Cost of Goods Sold (COGS) for Product Manufacturing. IEEE Transactions on Engineering Management, 65(3), 460–473. https://doi.org/10.1109/TEM.2018.2796447 Chen, X., Kelley, C. T., Xu, F., & Zhang, Z. (2018). A Smoothing Direct Search Method for Monte Carlo-Based Bound Constrained Composite Nonsmooth Optimization. SIAM Journal on Scientific Computing, 40(4), A2174–A2199. https://doi.org/10.1137/17M1116714 Jiang, J., Chirkova, R., Doyle, J., & Rosenthal, A. (2018). Poster: Towards Greater Expressiveness, Flexibility, and Uniformity in Access Control. SACMAT'18: PROCEEDINGS OF THE 23RD ACM SYMPOSIUM ON ACCESS CONTROL MODELS & TECHNOLOGIES, pp. 217–219. https://doi.org/10.1145/3205977.3208950 Frame, D., He, R., Ipsen, I., Lee, D., Lee, D., & Rrapaj, E. (2018). Eigenvector Continuation with Subspace Learning. Physical Review Letters, 121(3). https://doi.org/10.1103/physrevlett.121.032501 Du, X., & Ghosal, S. (2018). Bayesian Discriminant Analysis Using a High Dimensional Predictor. SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, 80, 112–145. https://doi.org/10.1007/s13171-018-0140-z Paterson, A. R., Reich, B. J., Smith, R. C., Wilson, A. G., & Jones, J. L. (2018). Bayesian Approaches to Uncertainty Quantification and Structure Refinement from X-Ray Diffraction. In Materials Discovery and Design (pp. 81–102). https://doi.org/10.1007/978-3-319-99465-9_4 Leon, L., Smith, R. C., Oates, W. S., & Miles, P. (2018). Analysis of a multi-axial quantum-informed ferroelectric continuum model: Part 2—sensitivity analysis. Journal of Intelligent Material Systems and Structures, 29(13), 2840–2860. https://doi.org/10.1177/1045389x18781024 Nezafat, R. V., Beheshtitabar, E., Cetin, M., Williams, E., & List, G. F. (2018). Modeling and Evaluating Traffic Flow at Sag Curves When Imposing Variable Speed Limits on Connected Vehicles. TRANSPORTATION RESEARCH RECORD, 2672(20), 193–202. https://doi.org/10.1177/0361198118784169 List, G. F., Rouphail, N., Smith, R., & Williams, B. (2018). Reliability Assessment Tool: Development and Prototype Testing. TRANSPORTATION RESEARCH RECORD, 2672(14), 29–38. https://doi.org/10.1177/0361198118798296 Li, X., & Ghosal, S. (2018). Bayesian classification of multiclass functional data. ELECTRONIC JOURNAL OF STATISTICS, 12(2), 4669–4696. https://doi.org/10.1214/18-EJS1522 Moore, T. A., McConnell, B. M., & Wilson, J. R. (2018). Simulation-based Evaluation On Integrating Additive Manufacturing Capability In A Deployed Military Environment. Proceedings of the 2018 Winter Simulation Conference, 3721–3729. https://doi.org/10.1109/wsc.2018.8632474 Gandhi, S., & Viniotis, Y. (2018). Joint Virtual Machine Placement and Path Selection in a Virtualized Datacenter Environment. ICDCN'18: PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING. https://doi.org/10.1145/3154273.3154325 Brady, R., Frank-Ito, D. O., Tran, H. T., Janum, S., Møller, K., Brix, S., … Olufsen, M. S. (2018). Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability. Mathematical Modelling of Natural Phenomena, 13(5), 42. https://doi.org/10.1051/mmnp/2018031 Rogers, M., McConnell, B., Hodgson, T. J., Kay, M. G., King, R. E., Parlier, G., & Thoney-Barletta, K. A. (2018). A military logistic network planning system (MLNPS). Military Operations Research. Karagul, H. F., Warsing, D. P., Hodgson, T. J., Kapadia, M. S., & Uzsoy, R. (2018). A comparison of mixed integer programming formulations of the capacitated lot-sizing problem. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 56(23), 7064–7084. https://doi.org/10.1080/00207543.2017.1401232 Rogers, M. B., McConnell, B. M., Hodgson, T. J., Kay, M. G., King, R. E., Parlier, G., & Thoney Barletta, K. (2018). A Military Logistics Network Planning System. Military Operations Research, 23(4), 5–24. https://doi.org/10.5711/1082598323405 Holodnak, J. T., Ipsen, I. C. F., & Smith, R. C. (2018). A PROBABILISTIC SUBSPACE BOUND WITH APPLICATION TO ACTIVE SUBSPACES. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 39(3), 1208–1220. https://doi.org/10.1137/17M1141503 Li, Z., Chen, X., & Zhang, Z. (2018). ON MULTISCALE ADI METHODS FOR PARABOLIC PDEs WITH A DISCONTINUOUS COEFFICIENT. MULTISCALE MODELING & SIMULATION, 16(4), 1623–1647. https://doi.org/10.1137/17M1151985 Peng, H., Pang, T., Cao, F., & Zhao, J. (2018). A Mutual Subsidy Mechanism for a Seasonal Product Supply Chain Channel Under Double Price Regulation. ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 35(6). https://doi.org/10.1142/S0217595918500471 Moheb-Alizadeh, H., & Handfield, R. (2018). An integrated chance-constrained stochastic model for efficient and sustainable supplier selection and order allocation. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 56(21), 6890–6916. https://doi.org/10.1080/00207543.2017.1413258 Altuntas, A., & Baugh, J. (2018). Hybrid theorem proving as a lightweight method for verifying numerical software. PROCEEDINGS OF CORRECTNESS 2018: 2ND IEEE/ACM INTERNATIONAL WORKSHOP ON SOFTWARE CORRECTNESS FOR HPC APPLICATIONS, pp. 1–8. https://doi.org/10.1109/Correctness.2018.00005 Wei, M., Lu, Z., & Wang, W. (2018). On Characterizing Information Dissemination During City-Wide Cascading Failures in Smart Grid. IEEE SYSTEMS JOURNAL, 12(4), 3404–3413. https://doi.org/10.1109/JSYST.2017.2763462 Young, K., Joines, J., Standish, T., & Gallagher, V. (2018). Student evaluations of teaching: the impact of faculty procedures on response rates. Assessment & Evaluation in Higher Education, 4, 1–13. https://doi.org/10.1080/02602938.2018.1467878 Sas, I., Joines, J. A., Thoney, K. A., & King, R. E. (2018). Logistics of carpet recycling in the US: Designing the collection network. Journal of the Textile Institute, 6, 1–10. https://doi.org/10.1080/00405000.2018.1480101 Standish, T., Joines, J. A., Young, K. R., & Gallagher, V. J. (2018). Improving SET Response Rates: Synchronous Online Administration as a Tool to Improve Evaluation Quality. Research in Higher Education, 59(6), 812–823. https://doi.org/10.1007/s11162-017-9488-5 Baugh, J., & Dyer, T. (2018). State-based formal methods in scientific computation. In M. Butler, A. Raschke, T. S. Hoang, & K. Reichl (Eds.), Abstract State Machines, Alloy, B, TLA, VDM, and Z (pp. 392–396). https://doi.org/10.1007/978-3-319-91271-4_29 Liu, X., Jiang, W., Yang, B., & Baugh, J. (2018). Numerical study on factors influencing typhoon-induced storm surge distribution in Zhanjiang Harbor. Estuarine, Coastal and Shelf Science, 215, 39–51. https://doi.org/10.1016/j.ecss.2018.09.019 Brayfindley, E., Smith, R. C., Mattingly, J., & Brigantic, R. (2018). Automated Defect Detection in Spent Nuclear Fuel Using Combined Cerenkov Radiation and Gamma Emission Tomography Data. Nuclear Technology, 204(3), 343–353. https://doi.org/10.1080/00295450.2018.1490123 Castro-Gonzalez, N., & Hartwig, R. E. (2018). PERTURBATION RESULTS AND THE FORWARD ORDER LAW FOR THE MOORE-PENROSE INVERSE OF A PRODUCT. ELECTRONIC JOURNAL OF LINEAR ALGEBRA, 34, 514–525. https://doi.org/10.13001/1081-3810,1537-9582.3365 Peng, H., Pang, T., & Cong, J. (2018). Coordination contracts for a supply chain with yield uncertainty and low-carbon preference. JOURNAL OF CLEANER PRODUCTION, 205, 291–302. https://doi.org/10.1016/j.jclepro.2018.09.038 Waghela, R., Bryant, M., & Wu, F. (2018). Control design in cyber-physical fluid-structure interaction experiments. JOURNAL OF FLUIDS AND STRUCTURES, 82, 86–100. https://doi.org/10.1016/j.jfluidstructs.2018.06.018 Weigand, T. M., Schultz, P. B., Giffen, D. H., Farthing, M. W., Crockett, A., Kelley, C. T., … Miller, C. T. (2018). Modeling Nondilute Species Transport Using the Thermodynamically Constrained Averaging Theory. Water Resources Research, 54(9), 6656–6682. https://doi.org/10.1029/2017WR022471 Chen, Z., Cao, Z., Huang, Q., & Campbell, S. L. (2018). Decentralized Observer-Based Reliable Control for a Class of Interconnected Markov Jumped Time-Delay System Subject to Actuator Saturation and Failure. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 37(11), 4728–4752. https://doi.org/10.1007/s00034-018-0795-7 Kang, Y., Albey, E., & Uzsoy, R. (2018). Rounding heuristics for multiple product dynamic lot-sizing in the presence of queueing behavior. COMPUTERS & OPERATIONS RESEARCH, 100, 54–65. https://doi.org/10.1016/j.cor.2018.07.019 Uzsoy, R. (2018, November). Appreciation to Our Reviewers. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, Vol. 31, pp. 405–405. https://doi.org/10.1109/TSM.2018.2871481 Mazzola, E., Perrone, G., & Handfield, R. (2018). Change Is Good, But Not Too Much: Dynamic Positioning in the Interfirm Network and New Product Development. JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 35(6), 960–982. https://doi.org/10.1111/jpim.12438 Qian, X., Fang, S.-C., Huang, M., An, Q., & Wang, X. (2018). Reverse auctions with regret-anticipated bidders. Annals of Operations Research, 268(1-2), 293–313. https://doi.org/10.1007/s10479-017-2475-6 Zhang, J., Fang, S.-C., & Xu, Y. (2018). Inventory centralization with risk-averse newsvendors. Annals of Operations Research, 268(1-2), 215–237. https://doi.org/10.1007/s10479-017-2578-0 Chen, X., Li, Z., & Ruiz Alvarez, J. (2018). A direct IIM approach for two-phase Stokes equations with discontinuous viscosity on staggered grids. COMPUTERS & FLUIDS, 172, 549–563. https://doi.org/10.1016/j.compfluid.2018.03.038 Haque, S., Kindrat, L. P., Zhang, L., Mikheev, V., Kim, D., Liu, S., … Smith, R. C. (2018). Uncertainty-enabled design of electromagnetic reflectors with integrated shape control. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596. https://doi.org/10.1117/12.2300396 Yan, X., Bai, Y., Fang, S.-C., & Luo, J. (2018). A proximal quadratic surface support vector machine for semi-supervised binary classification. Soft Computing, 22(20), 6905–6919. https://doi.org/10.1007/s00500-017-2751-z Leon, L. S., Smith, R. C., Miles, P., & Oates, W. S. (2018). Active Subspace Uncertainty Quantification for a Polydomain Ferroelectric Phase-Field Model. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596. https://doi.org/10.1117/12.2297207 Ziarnetzky, T., Moench, L., & Uzsoy, R. (2018). Rolling horizon, multi-product production planning with chance constraints and forecast evolution for wafer fabs. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 56(18), 6112–6134. https://doi.org/10.1080/00207543.2018.1478461 Hartwig, R. E., & Patricio, P. (2018). The group inverse of the nivellateur. LINEAR & MULTILINEAR ALGEBRA, 66(12), 2409–2420. https://doi.org/10.1080/03081087.2017.1397092 Bravo, N., Smith, R. C., & Crews, J. (2018). Uncertainty Quantification for PZT Bimorph Actuators. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596. https://doi.org/10.1117/12.2297148 Chen, Z., Cao, Z., Huang, Q., & Campbell, S. L. (2018). Reliable H-infinity control on saturated linear Markov jump system with uncertain transition rates and asynchronous jumped actuator failure. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 355(9), 3853–3872. https://doi.org/10.1016/j.jfranklin.2018.02.029 Bhat, S., Rouskas, G. N., & Katib, I. (2018). On time dependent routing algorithms for open marketplaces of path services with support for in-advance path reservation. COMPUTER NETWORKS, 138, 201–212. https://doi.org/10.1016/j.comnet.2018.04.006 Aras, A. K., Chen, X. Y., & Liu, Y. A. (2018). Many-server Gaussian limits for overloaded non-Markovian queues with customer abandonment. Queueing Systems, 89(1-2), 81–125. https://doi.org/10.1007/s11134-018-9575-0 Hu, R., & Li, Z. (2018). Error analysis of the immersed interface method for Stokes equations with an interface. APPLIED MATHEMATICS LETTERS, 83, 207–211. https://doi.org/10.1016/j.aml.2018.03.034 Orgut, I. S., Ivy, J. S., Uzsoy, R., & Hale, C. (2018). Robust optimization approaches for the equitable and effective distribution of donated food. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 269(2), 516–531. https://doi.org/10.1016/j.ejor.2018.02.017 Li, Z., Zhonghua, Q., & Tang, T. (2018). Numerical solution of differential equations: Introduction to finite difference and finite element methods. New York: Cambridge University Press. Hanusa, C. R. H., & Savage, C. D. (2018). Lecture hall partitions and the affine hyperoctahedral group. Electronic Journal of Combinatorics, 25(1). Strong, D., Kay, M., Conner, B., Wakefield, T., & Manogharan, G. (2018). Hybrid manufacturing - integrating traditional manufacturers with additive manufacturing (AM) supply chain. ADDITIVE MANUFACTURING, 21, 159–173. https://doi.org/10.1016/j.addma.2018.03.010 Meneguzzi, F., Magnaguagno, M. C., Singh, M. P., Telang, P. R., & Yorke-Smith, N. (2018). GoCo: planning expressive commitment protocols. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 32(4), 459–502. https://doi.org/10.1007/s10458-018-9385-0 Qin, Z., Cao, B., Fang, S.-C., & Yang, X.-P. (2018). Geometric Programming with Discrete Variables Subject to Max-Product Fuzzy Relation Constraints. Discrete Dynamics in Nature and Society, 2018, 1–8. https://doi.org/10.1155/2018/1610349 Lagergren, J., Reeder, A., Hamilton, F., Smith, R. C., & Flores, K. B. (2018). Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model. Bulletin of Mathematical Biology, 80(6), 1578–1595. https://doi.org/10.1007/s11538-018-0421-7 Yuan, C., & Wu, F. (2018). Cooperative output regulation of multi-agent systems with switched leader dynamics. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 49(7), 1463–1477. https://doi.org/10.1080/00207721.2018.1454537 Ji, H., Chen, J., & Li, Z. (2018). A high-order source removal finite element method for a class of elliptic interface problems. APPLIED NUMERICAL MATHEMATICS, 130, 112–130. https://doi.org/10.1016/j.apnum.2018.03.017 Al-Amin, S., Ajmeri, N., Du, H., Berglund, E. Z., & Singh, M. P. (2018). Toward effective adoption of secure software development practices. SIMULATION MODELLING PRACTICE AND THEORY, 85, 33–46. https://doi.org/10.1016/j.simpat.2018.03.006 Zhang, H., Ban, X., & Wu, F. (2018). Stability analysis and controller design for a novel nonlinear system: Fuzzy parameter varying system. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 34(6), 4387–4395. https://doi.org/10.3233/jifs-18190 Drineas, P., Ipsen, I. C. F., Kontopoulou, E.-M., & Magdon-Ismail, M. (2018). STRUCTURAL CONVERGENCE RESULTS FOR APPROXIMATION OF DOMINANT SUBSPACES FROM BLOCK KRYLOV SPACES. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 39(2), 567–586. https://doi.org/10.1137/16m1091745 Nguyen, T., Tran, H., Guillen, A., Bui, T., & Matsunaga, S. (2018). Acquisition War-Gaming Technique for Acquiring Future Complex Systems: Modeling and Simulation Results for Cost Plus Incentive Fee Contract. Mathematics, 6(3), 43. https://doi.org/10.3390/math6030043 Gao, L., & Rouskas, G. N. (2018). A spectral clustering approach to network-aware virtual request partitioning. COMPUTER NETWORKS, 139, 70–80. https://doi.org/10.1016/j.comnet.2018.04.005 Karagul, K., Kay, M. G., & Tokat, S. (2018). A new method for generating initial solutions of capacitated vehicle routing problems. Gazi University Journal of Science, 31(2), 489–513. Martinez, M., & Savage, C. (2018). Patterns in inversion sequences II: Inversion sequences avoiding triples of relations. Journal of Integer Sequences, 21(2). Kelley, C. T. (2018). Numerical methods for nonlinear equations. Acta Numerica, 27, 207–287. https://doi.org/10.1017/s0962492917000113 Baugh, J., & Altuntas, A. (2018). Formal methods and finite element analysis of hurricane storm surge: A case study in software verification. SCIENCE OF COMPUTER PROGRAMMING, 158, 100–121. https://doi.org/10.1016/j.scico.2017.08.012 An, Q., Fang, S.-C., Li, H.-L., & Nie, T. (2018). Enhanced linear reformulation for engineering optimization models with discrete and bounded continuous variables. Applied Mathematical Modelling, 58, 140–157. https://doi.org/10.1016/j.apm.2017.09.047 Uzsoy, R. (2018, May). Editorial from the Incoming Editor-in-Chief. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, Vol. 31, pp. 195–195. https://doi.org/10.1109/tsm.2018.2820239 Ajmeri, N., Guo, H., Murukannaiah, P. K., & Singh, M. P. (2018). Designing Ethical Personal Agents. IEEE INTERNET COMPUTING, 22(2), 16–22. https://doi.org/10.1109/mic.2018.022021658 Villanes, A., Griffiths, E., Rappa, M., & Healey, C. G. (2018). Dengue Fever Surveillance in India Using Text Mining in Public Media. AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 98(1), 181–191. https://doi.org/10.4269/ajtmh.17-0253 Li, Z., Lai, M.-C., Peng, X., & Zhang, Z. (2018). A least squares augmented immersed interface method for solving Navier-Stokes and Darcy coupling equations. COMPUTERS & FLUIDS, 167, 384–399. https://doi.org/10.1016/j.compfluid.2018.03.032 Deng, Z., Fang, S.-C., Lu, C., & Guo, X. (2018). A branch-and-cut algorithm using polar cuts for solving nonconvex quadratic programming problems. Optimization, 67(2), 359–375. https://doi.org/10.1080/02331934.2017.1391253 Meyer, C. D. (2018). Rank My Update, Please. AMERICAN MATHEMATICAL MONTHLY, 125(1), 61–64. https://doi.org/10.1080/00029890.2017.1389199 Bouterse, B., & Perros, H. (2018). Dynamic VM allocation in a SaaS environment. ANNALS OF TELECOMMUNICATIONS, 73(3-4), 205–218. https://doi.org/10.1007/s12243-017-0589-0 Lu, C., Deng, Z., Zhang, W.-Q., & Fang, S.-C. (2018). Argument division based branch-and-bound algorithm for unit-modulus constrained complex quadratic programming. Journal of Global Optimization, 70(1), 171–187. https://doi.org/10.1007/s10898-017-0551-8 Patankar, N. S., & Kulkarni, A. J. (2018). Variations of cohort intelligence. SOFT COMPUTING, 22(6), 1731–1747. https://doi.org/10.1007/s00500-017-2647-y Arridge, S. R., Ito, K., Jin, B., & Zhang, C. (2018). Variational Gaussian approximation for Poisson data. INVERSE PROBLEMS, 34(2). https://doi.org/10.1088/1361-6420/aaa0ab Guo, Y., Liu, Y., & Pei, R. (2018). Functional law of the iterated logarithm for multi-server queues with batch arrivals and customer feedback. ANNALS OF OPERATIONS RESEARCH, 264(1-2), 157–191. https://doi.org/10.1007/s10479-017-2529-9 Kwon, C., Hegarty, M., Oxenham, W., Thoney-Barletta, K., Grant, E., & Reid, L. (2018). An indirect testing approach for characterizing pressure profiles of compression bandages and hosiery. JOURNAL OF THE TEXTILE INSTITUTE, 109(2), 256–267. https://doi.org/10.1080/00405000.2017.1340079 Yuan, C., Duan, C., & Wu, F. (2018). Almost output regulation of LFT systems via gain-scheduling control. INTERNATIONAL JOURNAL OF CONTROL, 91(5), 1161–1170. https://doi.org/10.1080/00207179.2017.1309573 Xiong, Y., Li, Y., Zhou, B., Wang, R., & Rouskas, G. N. (2018, January). SDN Enabled Restoration With Triggered Precomputation in Elastic Optical Inter- Datacenter Networks. JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, Vol. 10, pp. 24–34. https://doi.org/10.1364/jocn.10.000024 Zhang, J.-H., Fang, S.-C., & Xu, Y.-F. (2018). Core of the Reinsurance Market with Dependent Risks. Journal of the Operations Research Society of China, 6(1), 49–57. https://doi.org/10.1007/s40305-017-0173-3 Pang, T., & Karan, C. (2018). A closed-form solution of the Black-Litterman model with conditional value at risk. OPERATIONS RESEARCH LETTERS, 46(1), 103–108. https://doi.org/10.1016/j.orl.2017.11.014 Liu, Y. (2018). Staffing to Stabilize the Tail Probability of Delay in Service Systems with Time-Varying Demand. OPERATIONS RESEARCH, 66(2), 514–534. https://doi.org/10.1287/opre.2017.1678 Perros, H. G. (2018). QoS architectures for the IP network. Encyclopedia of Information Science and Technology, 4th Edition, 6609–6617. Arthur, J., Attarian, A., Hamilton, F., & Tran, H. (2018). Nonlinear Kalman filtering for censored observations. Applied Mathematics and Computation, 316, 155–166. https://doi.org/10.1016/j.amc.2017.08.002