Optimal selection method of financial market investment portfolio based on monarch butterfly optimization algorithm
Qi, Leiqian · Journal of Combinatorial Mathematics and Combinatorial Computing · 2025
This paper ofers a novel technique fbr optimizing financial market portfolios making use of the Monarch Butterfly Optimization set of rules (MBOA).The have a look at starts with a complete evaluation of the significance of portfolio optimization in economic markets, losing mild at the inadequacies of traditional methodologies.In the end, the MBOA is delivered, elucidating its standards and enumerating its benefits over conventional optimization techniques.The proposed methodology is then meticulously elaborated, encompassing a thorough problem description, elucidation of implementation steps, and delineation ofparameter settings specific to the Monarch Butterfly set of rules.Through rigorous experimentation on real-worldwide financial marketplace datasets, the efficacy ofthe proposed technique is tested.The experimental consequences display the functionality of the proposed approach to exactly optimize investment portfolios, yielding advanced returns whilst mitigating dangers.Moreover, the talk section deliberates at the implications of the experimental findings and delineates ability avenues for future studies endeavors.In essence, this have a take a look at contributes to the burgeoning location ofmonetary market optimization thru introducing a novel technique grounded in the MBOA.The findings underscore the set of rules's efficacy and capability applicability in addressing the complexities inherent in portfolio optimization.