Combinatorial optimisation with AI is particularly important in the fields of artificial intelligence, automation, industry and Factory 4.0. The aim here is to find the best solution to a problem from a huge number of possible combinations. This sounds abstract, but it happens automatically in many everyday situations.
A practical example: In a modern factory, orders, machines and materials must be optimally coordinated. There are millions of ways in which work processes, routes or machine deployment could be organised. Using conventional methods, it often takes too long to find the best combination. This is where artificial intelligence comes into play: it can run through millions of scenarios at lightning speed and suggest the most efficient solution.
Combinatorial optimisation with AI therefore means that computers help to solve complex problems in the shortest possible time - and often much better than humans alone could. This saves resources, shortens production times and reduces costs. For example, a delivery service becomes faster, a factory more environmentally friendly and a production process more flexible.
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