Metaheuristics are a type of Artificial Intelligence (AI) algorithm that can be used to solve complex optimization problems by finding good solutions that are not necessarily optimal. They work by using a set of heuristics, or rules of thumb, to guide the search for solutions in a flexible and adaptive way. Metaheuristics are often used when traditional optimization techniques are too slow or too expensive, or when the problem is too large to solve using exact methods. They can be applied to a wide range of problems, including optimization, scheduling, routing, and resource allocation.
Pixis AI uses metaheuristic models to find the best-optimized solutions for problem statements and challenges in marketing.
