What is the point of linear programming, convex optimization and others after the development of meta heuristics?

I know that is important to find the global optimal, but the meta heuristics also can find it (besides the lack of a proof).

I am used to use convex optimization. But after seeing the genetic algorithm, particle swarm and the others. I fell that metaheuristics are easier and give better results.

What do you think about?