Abstract
Genetic Algorithms use several tests for automation. Ever since the evolutionary procedures are based on heuristics, the output efficiency and performances differ through multiple times, an environment need is created to overcome these intricacies. The robustness problem of optimizing multimodal functions is overcome by GA. The paper aims to give an idea on genetic algorithm for function optimization. MATLAB is used for this work. The advantages of the genetic algorithm are highlighted in this work. The main concepts of the genetic algorithm of selection, mutation, recombination, and elitism are described in this work.
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Srividya, T.D., Arulmozhi, V. (2021). A Unique Approach of Optimization in the Genetic Algorithm Using Matlab. In: Goyal, D., Bălaş, V.E., Mukherjee, A., Hugo C. de Albuquerque, V., Gupta, A.K. (eds) Information Management and Machine Intelligence. ICIMMI 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-4936-6_51
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DOI: https://doi.org/10.1007/978-981-15-4936-6_51
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