Linear Semi-Infinite Programming and Optimization Publication Trend The graph below shows the total number of publications each year in Linear Semi-Infinite Programming and Optimization.

Mixed-integer linear programming (MILP) is often used for system analysis and optimization as it presents a flexible and powerful method for solving large, complex problems such as the case with ...

With the help of linear optimization, an international supplier maximizes profit margins while seeding future growth opportunities.

Algorithms suitable for real-time applications are proposed within Linear Programming and Mixed-Integer Linear Programming optimization frameworks, achieving polynomial time-complexity.

1 Introduction Stochastic programming, also known as stochastic optimization (Birge and Louveaux, 2011), is a mathematical framework to model decision-making under uncertainty. The origin of ...

Estimation errors or uncertainities in expected return and risk measures create difficulties for portfolio optimization. The literature deals with the uncertainty using stochastic, fuzzy or ...

Distillation is very important in process industry, and the optimization aiming to energy saving and yield improvement is still important and difficult. Piecewise linear approximation is firstly ...

Gurobi Optimization, LLC today announced the release of Gurobi 9.0, the latest version of its industry-leading mathematical programming solver.