Author:
Karwa Lakshya,Kumar I. S. Tarun,Hemashree P.
Publisher
Springer Nature Switzerland
Reference13 articles.
1. Ito, K., Minami, K., Imajo, K., Nakagawa, K., Trader-company method: a metaheuristics for interpretable stock price prediction. In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS’21). International Foundation for Autonomous Agents and Multiagent Systems, Richland, pp. 656–664 (2021)
2. Kalayci, C.B., Polat, O., Akbay, M.A.: An efficient hybrid metaheuristic algorithm for cardinality constrained portfolio optimization. Swarm Evol. Comput. 54, 100662 (2020). https://doi.org/10.1016/j.swevo.2020.100662
3. Elhoseny, M., Metawa, N., El-hasnony, I.M.: A new metaheuristic optimization model for financial crisis prediction: Towards sustainable development. Sustain. Comput. Inform. Syst. 35, 100778 (2022). https://doi.org/10.1016/j.suscom.2022.100778
4. Abbasi, H., Bamdad, S., Rahimi, M.: Metaheuristic-based portfolio optimization in peer-to-peer lending platforms. Int. J. Syst. Assur. Eng. Manag. (2023). https://doi.org/10.1007/s13198-023-02074-0
5. Kumar, K., Haider, M.T.U., Enhanced prediction of intra-day stock market using metaheuristic optimization on RNN-LSTM network. Expert Syst. Appl. (2020)