A Systematic Review on Physics-Based Optimization Techniques

The need for optimization techniques has been long sought after heuristic, deterministic, and probabilistic algorithms have been applied to improve the efficiency and accuracy of these existing algorithms or create new algorithms that are superior to them. Metaheuristic algorithms that use optimization techniques, such as physics-based optimization, can be used when the solution space is approximate and when other algorithms aren't the best suited in these cases. When there is a complex solution space or when existing algorithms are not ideal, the physics-based optimization techniques provide better options. By taking inspiration from physics-based approaches, these techniques close the gap between the existing abstract ideas and real-world implementations. This paper discussed various physics-based optimization techniques, including their variants, to identify their origin, methodology, and applications.