Metaheuristics are high-level problem-solving frameworks designed to find approximate solutions to complex optimization problems where traditional methods are inefficient or infeasible. They are versatile and adaptive, often inspired by natural processes, and are employed in various fields to optimize solutions in a reasonable time frame without guaranteeing global optimality.