The concept of optimization has gained widespread recognition in numerous industries worldwide. To maximize resources like time, money, distance, options, and searches, people and organizations are actively looking for the best answers to particular problems. The traditional methods of tackling optimization problems are no longer considered adequate since they frequently produce suboptimal results or take too long. Using heuristic and meta-heuristic methods is now necessary to solve optimization problems. To avoid becoming trapped in locally optimal solutions, meta-heuristic approaches are made to thoroughly investigate and utilize the entire search space. Meta-heuristic algorithms are remarkably adept at solving optimization issues; they take their cues from the behavior of real organisms such as fish, birds, insects, and bees. In almost every modern field, optimization is a crucial factor to take into account while attempting to resolve real-world issues. An in-depth analysis of bio-inspired optimization methods and their real-world applications for a variety of optimization problems is presented in this paper.