Before revision:  In addition, many portfolio managers choose stocks based upon fundamental data, e. g. price-to-earnings and dividend yield in an effort to maximize return. All of these are typical real-world constraints a portfolio manager faces. Another constraint, of sorts, is the need to outperform a stock index benchmark. Performance higher than the benchmark means a better compensation package. Underperforming the benchmark means a lesser compensation package. We use MOEAs to satisfy the above real-world constraints and consistently outperform typical performance benchmarks .
After revision:  In addition, many portfolio managers choose stocks based upon their respective fundamental data. We use multiobjective evolutionary algorithms (MOEAs) to satisfy the above real-world constraints and consistently outperform typical performance benchmarks .