optimaliseringsmotoren

Optimaliseringsmotoren is a software system designed to formulate, solve, and manage optimization problems across domains. It accepts a mathematical model containing decision variables, an objective function, and constraints, and returns solutions that are optimal or near-optimal under the given assumptions.

Key components include a modelling layer, solver backends, data interfaces, and user interfaces. It supports single-objective and multi-objective optimization, and can handle linear, nonlinear, integer, and combinatorial problems, as well as constraint programming.

Algorithms and techniques used include linear programming, mixed-integer programming, nonlinear optimization, convex optimization, dynamic programming, and metaheuristics such as genetic algorithms and simulated annealing. Decomposition, cutting planes, and branch-and-bound are common for large-scale problems.

Architecture often features modular plug-ins for solvers, cloud or on-prem deployment, parallel computation, and mechanisms for reproducibility, logging, and provenance. Data preparation, scenario management, and solution interpretation are integral.

Applications span logistics and supply chain optimization, production planning, workforce scheduling, energy management, financial portfolio optimization, and routing.

Limitations include modeling complexity, computational intractability for large or highly non-linear problems, sensitivity to data quality, and potential opacity of certain solver strategies. Effective use requires domain knowledge and careful model validation.