Abstract
Portfolio selection has a literal sense that means that the selection of an optimal portfolio which results to an asset that has minimum risk and maximized cost. The process refers to the formulation of an objective function that determines the weights of the portfolio that has to be invested in. In this paper, we have tried to optimize the selection of portfolio using genetic algorithms. Sharpe ratio has been used as a cost function to determine the fitness of stocks, and a local search algorithm, Nelder–Mead, has been used to optimize the selection of the portfolio process and to improve the efficiency.
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Reddy, A.A., Vundela, M., Manju, G. (2021). Portfolio Optimization Using Genetic Algorithms with Nelder–Mead Algorithm. In: Mahapatra, R.P., Panigrahi, B.K., Kaushik, B.K., Roy, S. (eds) Proceedings of 6th International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, vol 177. Springer, Singapore. https://doi.org/10.1007/978-981-33-4501-0_19
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DOI: https://doi.org/10.1007/978-981-33-4501-0_19
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