Python MIP is a collection of Python tools for the modeling and solution of Mixed-Integer Linear programs (MIPs). MIP syntax was inspired by Pulp. Just like CyLP it also provides access to advanced ...

In satellite system design, optimizing component layout is crucial for enhancing satellite performance. Recently, a research team led by Professor Wen Yao from the Defense Innovation Institute at the ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Peng Lin, Mengchuan Zou, and Shaowei Cai. An Efficient Local Search Solver for Mixed Integer Programming. In Proceedings of the 30th International Conference on Principles and Practice of Constraint ...

Abstract: This paper considers a Multi-Agent Motion Planning (MAMP) problem that seeks collision-free paths for multiple agents from their respective start to goal locations among static obstacles, ...

Abstract: In this paper, we consider the array synthesis with low sidelobe level using two-way array factor (AF), which is defined as the product of the factors in transmit and receive AFs. Utilizing ...

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC today announced the release of Gurobi 9.0, the latest version of its industry-leading mathematical programming solver. Gurobi 9.0 delivers ...

Formulations of mathematical programs often require that some of the decision variables take only integer values. Consider the formulation You can follow the same steps to identify binary variables.