Metaheuristics in Operations Research

Metaheuristics are advanced problem-solving techniques used in Operations Research to find good or near-optimal solutions for complex problems that are too hard or time-consuming to solve exactly. They work by exploring possible options intelligently—like trying different routes or schedules—using strategies inspired by nature, physics, or logic. Examples include algorithms modeled after biological evolution or animal behavior. Metaheuristics are flexible tools that help optimize things like logistics, production, or resource allocation when traditional methods are impractical, providing effective solutions within reasonable time frames for complex decision-making problems.