Multicriteria Optimization

Multicriteria optimization involves making decisions when there are multiple, often conflicting, objectives to consider simultaneously. Instead of finding a single best solution, it identifies a set of optimal options called Pareto optimal solutions, where improving one criterion would worsen another. This approach helps decision-makers balance different factors—like cost, quality, and time—by exploring trade-offs and selecting solutions that align best with their priorities. It’s widely used in areas such as engineering, business, and logistics to optimize complex systems where multiple goals must be achieved concurrently.