The dual form in optimization refers to an alternative representation of a primal problem, often transforming a constrained optimization problem into a simpler or more tractable one. It leverages the Lagrangian duality principle, which provides insights into the properties of the primal problem and can lead to more efficient algorithms for finding optimal solutions.