A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.
for questions relating to an optimal (best) solution which attains the best objective function value over the entire set of feasible solutions.
For questions related to GAMS (General Algebraic Modeling System), a high-level modeling system for mathematical optimization.
For questions related to processes that change randomly over time. Examples include Markov processes, random walks, and renewal processes.
For questions related to the (r,Q) inventory model, in which stochastic demands reduce the inventory level over time, and when the inventory position reaches the reorder point (r), an order is placed …
For questions on a method that transforms a subset of the linear inequalities of a linear program into an equivalent representation by its extreme points and rays; this generally introduces a large nu…
For questions on the mathematical modeling of processes with randomized outcomes.
For questions related to OR-related software whose source code is freely available and may be modified by users.
For questions on interfaces between a solver library and applications that allow to call user code at specific points in the solving process (e.g. on finding a new solution).
For questions related to reinforcement learning, a type of machine learning algorithm in which a computerized agent learns through experimentation how to optimize its actions in an environment to maxi…
For questions on the commercial constraint solver CPLEX CP Optimizer.
For questions about the dual Simplex method.
For questions related to Operations Research approaches for modeling, managing, or optimizing supply chains, systems designed to move goods from where they are produced to where they are consumed.
For questions about solving Operations Research problems using the R programming language.
Topics related to job search, be it academic or industrial. Anything from finding positions, writing applications, interviewing, to perspectives.
For questions about the use of Simulated Annealing (SA) for solving combinatorial problems. SA is a probabilistic metaheuristic that can approximate the global optimum in a large (and usually discrete…
For questions related to (algebraic) modeling languages such as AMPL and GAMS, which facilitate the process of translating an optimization model written in algebraic form to the matrices, vectors, and…
For questions related to optimization problems that are obtained from other optimization problems by increasing the feasible region, typically by removing one or more constraints or changing their rig…
For questions related to journals that publish papers related to Operations Research.
For questions related to empirical or computational bounds that quantify how far the objective function value of a given solution is from the optimal objective function value.
For questions on constraints over random variables that need to be satisfied with a given probability.
For question on optimization problems that seek solutions that are globally optimal (in contrast to locally optimal solutions).
For questions relating to optimization problems in which the goal is to minimize the maximum value of some function (or maximize the minimize the value).
For questions that refer to optimization instances used for testing or benchmarking algorithms and software packages.
For questions related to Lagrangian relaxation, a method used to generate bounds on optimization problems by removing one or more constraints and including a penalty in the objective function for viol…
In parallel computing a computational task is typically broken down into many sub-tasks that can be processed independently and whose results are combined upon completion. It is also called multiproce…
For questions relating to the Computational Infrastructure for Operations Research (COIN-OR).