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@article{163285,
        author = {Prarik Sakunde and Aditya Vanjale},
        title = {The Role of Genetic Algorithms in Meeting  Next-Generation Wireless Communication},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2470-2482},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163285},
        abstract = {In the landscape of evolving wireless communication technologies, antenna design emerges as a critical frontier for enhancing system performance, encompassing bandwidth, latency, and reliability. This study delves into the application of genetic algorithms (GAs) as a seminal approach for optimizing antenna configurations to meet the exigencies of next-generation networks. By embodying the principles of natural selection, GAs provide a robust framework for navigating the multidimensional optimization challenges inherent in antenna design, offering solutions that traditional methodologies often fail to uncover. Through a systematic exploration of GA mechanisms—selection, crossover, and mutation—this paper illuminates their efficacy in balancing multifarious design objectives, from maximizing gain and bandwidth to minimizing physical footprint. Highlighted by a series of case studies, our research showcases the adaptability and precision of GAs in evolving antenna designs that not only meet but exceed the performance criteria vital for the deployment of advanced wireless communication systems like 5G and beyond. The findings underscore the transformative potential of genetic algorithms in propelling antenna technology forward, paving the way for more efficient, flexible, and future-proof wireless networks.},
        keywords = {Genetic Algorithms, Antenna Design Optimization, Multi-objective Optimization, Adaptive Antenna Systems, Wireless Communication Systems, 5G Technology, Performance Metrics Improvement, Evolutionary Algorithms},
        month = {},
        }