Affiliation:
1. KCG College of Technology, India
Abstract
Communication technology's advancement has revolutionized industries and shaped social norms by changing how we connect and communicate. Every technological development, from the earliest days of telegraphy to the present day of wireless connectivity and high-speed internet, has brought the world closer together. Global networks have made it easier to interchange data, which has improved commercial operations and changed human interactions by erasing the need for physical boundaries. The need for reliable and efficient computer communications has grown in the digital age at present. The complicated optimization problems that arise in network design, routing protocols, resource allocation, and quality of service management can now be solved successfully with the help of metaheuristic algorithms. Such algorithms like Simulated Annealing (SA), Ant Colony Optimization (ACO), Genetic Algorithms (GA), and Particle Swarm Optimization (PSO).
Reference20 articles.
1. Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)
2. AgrawalP.HattanI.AbutarboushF.GaneshT. (2021). Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019). IEEE Access Multi-Disciplinary Open Access Journal.
3. Álvarez-Martínez, D., & Lázaro, R. A. R. (2012). Particle swarm optimization with turbulence factor for two-dimensional guillotine single knapsack problems. Academic Press.
4. A Hybrid Metaheuristic Method in Training Artificial Neural Network for Bankruptcy Prediction
5. Bergstra, J., Bardenet, R., Bengio, Y., & Kégl, B. (2011). Advances in neural information processing systems: Vol. 24. Algorithms for hyper-parameter optimization. Academic Press.