Solving Portfolio Optimization Problem for Long-term Stocks Investment using Ant Colony Optimization

This paper investigates the application of data science techniques to address the critical challenge of retirement planning for Thai elders through long-term investment in SET50 stocks. With Thailand's rapidly aging population and rising healthcare costs, ensuring financial security during retirement is of paramount importance. Traditional fixed-income investments often struggle to keep pace with inflation, making the stock market a potentially attractive option for generating higher returns. However, navigating the complexities of the stock market can be daunting for retirees, especially those with limited financial expertise. This study proposes a data-driven approach using Ant Colony Optimization to optimize long-term investment portfolios for Thai elders within the SET50 index. This work also shows the cross validation among other optimization technique (Genetic Algorithm).