Abstract
Solving quadratic equation efficiently is a real-world challenge nowadays, due to its wide applications in the task of determining a product’s profit, calculating areas or formulating the speed of an object. The general approach of finding the roots of a quadratic equation is not enough efficient due to the requirement of high computation time. Because of the Genetic Algorithm’s stochastic characteristics and efficiency in solving problems it can be used to find roots of quadratic equation precisely. In modern athletics reducing the computation time of solving the quadratic equation has been so inevitable where using a genetic algorithm can find a quick solution that doesn’t violate any of the constraints and with high precision also. Optimization has been done in the Crossover and Mutation process which has reduced the number of iterations for solving the equation. It reduces the time complexity of the existing approach of solving the quadratic equation and reaches towards the goal efficiently.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chowdhury, B.R., Hossain, M.S., Ahmad, A., Hasan, M., Al-Hasan, M. (2020). A New Approach to Solve Quadratic Equation Using Genetic Algorithm. In: Bhuiyan, T., Rahman, M.M., Ali, M.A. (eds) Cyber Security and Computer Science. ICONCS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 325. Springer, Cham. https://doi.org/10.1007/978-3-030-52856-0_15
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