Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s ...

Operational research techniques such as linear programming (LP), non-linear programming (NLP), dynamic programming (DP), simulation and decision analysis have been applied to many livestock management ...

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...

HiOp is an optimization solver for solving certain mathematical optimization problems expressed as nonlinear programming problems. HiOp is a lightweight HPC solver that leverages application's ...

Optimal control problems are pervasive across numerous disciplines, including engineering, economics, biology, and medicine, where they play a crucial role in optimizing the performance of dynamic ...

Abstract: A swarm-exploring neurodynamic network (SENN) based on a two-timescale model is proposed in this study for solving nonconvex nonlinear programming problems. First, by using a ...

Abstract: This paper proposes an estimation of particle swarm distribution algorithm (EPSDA) to solve the nonlinear bilevel programming problem (NBLP) by embedding the estimation distribution ...

Developing a novel type of power system is an important means of achieving the “dual carbon” goals of achieving peak carbon emissions and carbon neutrality in the near future. Given that the ...

In the last decade, there have grown a number of applications of neural networks and machine learning. Based on the success of the neural network and machine learning applications in the real-world ...