ABSTRACT
The integration of shrewd computing and optimization strategies in finance has received momentum, enabling more state-of-the-art portfolio control practices. With the increasing emphasis on sustainable development, this paper investigates how those superior technologies may be employed to create portfolios aligned with environmental, social, and governance (ESG) concepts. The research explores synthetic intelligence, machine mastering, and optimization algorithms to design portfolios that contribute to sustainable improvement desires. It addresses demanding situations, offers multi-goal optimization fashions, and discusses danger control in sustainable finance. Furthermore, the paper highlights explainable AI for obvious decision-making and provides real-international case studies demonstrating the effective impact of sustainable investments on economic performance and long-time sustainability. The observation concludes with destiny tendencies and demanding situations within the discipline.
