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@article{153107,
        author = {SAHITHI Y and Dr.P.Siddaiah},
        title = {Performance Analysis of Adaptive Linear Array Optimization by Utilizing the Genetic Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {5},
        pages = {733-738},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153107},
        abstract = {There are many theoretical and practical methods explained in literature to reduce the side lobe level and to improve the overall performance of the array antenna. In this article, by using the multi-objective genetic optimization approach, the synthesizing challenge covered in this work is determining the masses of the array antenna components which produce the best radiation characteristics with the least amount of side lobe. The adaptable evolutionary algorithm is shown to increase the performance by lowering the sidelobe level value under -30dB for most instances with 8 parameters and few MATLAB commands. This approach proved to be effective in enhancing the antennas array's performance.},
        keywords = {Genetic algorithm, Side Lobe Level, Array Antenna, MATLAB},
        month = {},
        }