Decomposition-based multi-objective evolutionary algorithm with multi strategies for portfolio optimization problems

Key Points

• Enhanced portfolio optimization achieved through a novel multi-objective evolutionary algorithm—improving decision-making capabilities in finance.
• Key performance metrics show significant advancements in efficiency across various investment strategies as measured against traditional methods.
• Assessment using a decomposition-based multi-objective evolutionary algorithm integrates multiple strategies to tackle complex portfolio challenges.
• Highlights potential improvements in investment performance; further studies may explore real-world applicability in diverse market conditions.