Metaheuristic Optimization

In computer science and mathematical optimization, metaheuristic optimization is a high-level procedure or heuristic designed to find, generate, or select a heuristic that provides a sufficiently good solution to an optimization problem. The goal is to efficiently explore potential solutions in complex problem spaces through flexible search strategies, thereby improving the quality and speed of the solutions. Metaheuristic optimization has significant applications in fields such as engineering design, scheduling, and logistics, capable of addressing high-dimensional, nonlinear, and multi-objective problems that are difficult for traditional optimization methods to handle.