An inexact NE/SQP method for solving the nonlinear complementarity problem. - Steven A. Gabriel; Jong-Shi Pang (Comput. Optim. Appl., 1992)

NE/SQP: A robust algorithm for the nonlinear complementarity problem. - Jong-Shi Pang; Steven A. Gabriel (Math. Program., 1993)

The Traffic Equilibrium Problem with Nonadditive Path Costs. - Steven A. Gabriel; David Bernstein (Transp. Sci., 1997)

A Hybrid Smoothing Method for Mixed Nonlinear Complementarity Problems. - Steven A. Gabriel (Comput. Optim. Appl., 1998)

Nonadditive Shortest Paths: Subproblems in Multi-Agent Competitive Network Models. - Steven A. Gabriel; David Bernstein (Comput. Math. Organ. Theory, 2000)

The National Energy Modeling System: A Large-Scale Energy-Economic Equilibrium Model. - Steven A. Gabriel; Andy S. Kydes; Peter Whitman (Oper. Res., 2001)

A Mixed Complementarity-Based Equilibrium Model of Natural Gas Markets. - Steven A. Gabriel; Supat Kiet; Jifang Zhuang (Oper. Res., 2005)

Electricity market near-equilibrium under locational marginal pricing and minimum profit conditions. - Raquel García-Bertrand; Antonio J. Conejo; Steven A. Gabriel (Eur. J. Oper. Res., 2006)

A practical approach to approximate bilinear functions in mathematical programming problems by using Schur's decomposition and SOS type 2 variables. - Steven A. Gabriel; Raquel García-Bertrand; Prawat Sahakij; Antonio J. Conejo (J. Oper. Res. Soc., 2006)

A multiobjective optimization model for processing and distributing biosolids to reuse fields. - Steven A. Gabriel; Prawat Sahakij; Mark Ramirez; Chris Peot (J. Oper. Res. Soc., 2007)

A fast heuristic method for minimizing traffic congestion on reconfigurable ring topologies. - Yohan Shim; Steven A. Gabriel; Aniket Desai; Prawat Sahakij; S. Milner (J. Oper. Res. Soc., 2008)

Solving stochastic complementarity problems in energy market modeling using scenario reduction. - Steven A. Gabriel; Jifang Zhuang; Ruud Egging (Eur. J. Oper. Res., 2009)

A Benders decomposition method for discretely-constrained mathematical programs with equilibrium constraints. - Steven A. Gabriel; Yohan Shim; Antonio J. Conejo; S. de la Torre; Raquel García-Bertrand (J. Oper. Res. Soc., 2010)

An Integer Programming Approach for Evaluating R&D Funding Decisions With Optimal Budget Allocations. - Jeremy M. Eckhause; Steven A. Gabriel; Danny R. Hughes (IEEE Trans. Engineering Management, 2012)

A branch-and-bound method for discretely-constrained mathematical programs with equilibrium constraints. - Yohan Shim; Marte Fodstad; Steven A. Gabriel; Asgeir Tomasgard (Ann. Oper. Res., 2013)

Solving discretely constrained, mixed linear complementarity problems with applications in energy. - Steven A. Gabriel; Antonio J. Conejo; Carlos Ruiz; Sauleh Siddiqui (Comput. Oper. Res., 2013)

Solving mixed-integer robust optimization problems with interval uncertainty using Benders decomposition. - Sauleh Siddiqui; Steven A. Gabriel; Shapour Azarm (J. Oper. Res. Soc., 2015)

A rolling horizon approach for stochastic mixed complementarity problems with endogenous learning: Application to natural gas markets. - Mel T. Devine; Steven A. Gabriel; Seksun Moryadee (Comput. Oper. Res., 2016)

An RLT approach for solving the binary-constrained mixed linear complementarity problem. - Franklin Djeumou Fomeni; Steven A. Gabriel; Miguel F. Anjos (Comput. Oper. Res., 2019)

Applications of logic constrained equilibria to traffic networks and to power systems with storage. - Franklin Djeumou Fomeni; Steven A. Gabriel; Miguel F. Anjos (J. Oper. Res. Soc., 2019)

A parametric programming approach to bilevel optimisation with lower-level variables in the upper level. - Henrik C. Bylling; Steven A. Gabriel; Trine Krogh Boomsma (J. Oper. Res. Soc., 2020)

Discretely constrained mixed complementary problems: Application and analysis of a stylised electricity market. - Richard Weinhold; Steven A. Gabriel (J. Oper. Res. Soc., 2020)

Solving binary-constrained mixed complementarity problems using continuous reformulations. - Steven A. Gabriel; Marina Leal; Martin Schmidt 003 (Comput. Oper. Res., 2021)

Using inverse optimization to learn cost functions in generalized Nash games. - Stephanie Allen; Steven A. Gabriel; John P. Dickerson (Comput. Oper. Res., 2022)

A New Computational Approach for Solving Linear Bilevel Programs Based on Parameter-Free Disjunctive Decomposition. - Saeed Mohammadi; Mohammad Reza Hesamzadeh; Steven A. Gabriel; Dina Khastieva (CoRR, 2022)

On linear bilevel optimization problems with complementarity-constrained lower levels. - Steven A. Gabriel; Marina Leal; Martin Schmidt 003 (J. Oper. Res. Soc., 2022)

Generalized Nash equilibrium models for asymmetric, non-cooperative games on line graphs: Application to water resource systems. - Nathan T. Boyd; Steven A. Gabriel; George Rest; Tom Dumm (Comput. Oper. Res., 2023)

Uncovering Strategies and Commitment Through Machine Learning System Introspection. - Julia Filiberti Allen; Steve Schmidt; Steven A. Gabriel (SN Comput. Sci., 2023)

Regularized Equilibrium Problems with Equilibrium Constraints with Application to Energy Markets. - Juan Pablo Luna; Claudia A. Sagastizábal; Julia Filiberti Allen; Steven A. Gabriel; Mikhail V. Solodov (SIAM J. Optim., 2023)

A hybrid inverse optimization-stochastic programming framework for network protection. - Stephanie Allen; Daria Terekhov; Steven A. Gabriel (J. Oper. Res. Soc., 2024)

A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development. - Olli Herrala; Steven A. Gabriel; Fabricio Oliveira; Tommi Ekholm (J. Oper. Res. Soc., 2025)

Understanding the role of technological complexity in sustainability transitions using stochastic, bi-level optimization. - Nathan T. Boyd; Steven A. Gabriel (Comput. Manag. Sci., 2025)

Theoretical results for gas market equilibrium modeling with application to Brazil. - Steven A. Gabriel; Dominic C. Flocco; Filipe Ferreira Mazzini; David Sotelo; Kamaiaji de Souza Castor; Mario Levorato 001 (Comput. Manag. Sci., 2025)