Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-heuristic bio-inspired non-bio-inspired focusing on their source inspiration studying potential applications in drones. About 350 algorithms have been studied, comprehensive classification is introduced based sources inspiration, bio-based, ecosystem-based, social-based, physics-based, chemistry-based, mathematics-based, music-based, sport-based, hybrid algorithms. The performance 21 selected considering calculation time, max iterations, error, cost function compared by solving 10 different benchmark functions from types. A review aerospace engineering provided, which illustrates general view optimization problems drones that are currently used to solve them.