Metaheuristic Optimization Review: Algorithms and Applications
Mohamed Saber, Abdelaziz A. Abdelhamid, Abdelhameed F. Ibrahim · Journal of artificial intelligence and metaheuristics. · 2023
Metaheuristic optimisation algorithms have become more well liked in recent years due to their success in solving challenging optimisation problems. Only a few of the metaheuristic optimisation techniques covered in this work include genetic algorithms, particle swarm optimisation, simulated annealing, ant colony optimisation, and many others. This paper discusses the history, operation, and applications of each method, including applications in engineering, finance, and bioinformatics.