MILPsolvere

MILPsolvere is a software package designed to solve mixed-integer linear programming problems. It combines exact optimization techniques with heuristic methods to provide robust performance on a wide range of instances. The solver supports standard MILP features such as binary and integer decision variables, continuous variables, linear constraints, and objective functions in minimization or maximization form.

Core algorithms include branch-and-bound, branch-and-cut, and cutting planes, complemented by aggressive presolve reductions and problem reformulation. MILPsolvere also includes primal heuristics, symmetry breaking, and constraint propagation to accelerate convergence. It is designed to produce certified optimal solutions when possible and to provide high-quality bounds and feasible solutions in shorter time frames when exact optimality is unlikely.

Interfaces and formats: MILPsolvere offers APIs for Python, C++, Java, and MATLAB, and can be integrated with common modeling tools. It supports standard file formats such as MPS and LP and can export solution details, solver logs, and performance metrics. The system emphasizes reproducibility with configurable random seeds and detailed reporting.

Architecture and deployment: The solver is built with a modular architecture consisting of a core optimization engine, presolve, cut management, and heuristics modules. It supports multi-threading, distributed solving, and cloud deployment, enabling scalable performance for large-scale MILP problems.

Development and reception: Developed by a focused team of researchers and engineers, MILPsolvere is used in academia and industry for logistics, scheduling, and resource allocation tasks. It is offered under a commercial license with optional academic terms, with an active development roadmap and community engagement to extend functionality and interoperability.