The Economic Benefits Evaluation Index System of Enterprise E-commerce Websites Using Intelligent Genetic Algorithm

This study explores the economic benefits evaluation mechanism of enterprise e-commerce websites, predicts future economic revenues for enterprises, and provides more targeted investment advice for investors. The intelligent genetic algorithm is applied to construct an economic benefits evaluation mechanism for enterprise e-commerce websites. The algorithm’s performance is effectively improved through the fuzzy genetic algorithm, and various economic benefits are inferred to evaluate the impact of various indicators based on their regularity. By studying, analyzing, and adjusting the algorithm parameters, the performance optimization of the algorithm is improved to 0.09, and the optimal value of the economic benefits of the scheme is 685. Current financial conditions indicate that a certain threshold must be met to obtain higher economic returns, namely, to obtain cumulative returns exceeding 1.654. When making investment decisions for enterprises, the best approach is to ensure that the expected returns of the selected listed companies reach the highest level, thereby achieving their maximum social benefits and obtaining maximum returns to realize their true social value. Genetic algorithms can be widely used in rule-based integral prediction models and enterprise profit target management, especially for enterprises with good operating conditions. This technology will play its maximum role if its current profitability, development potential, and sustainability are fully considered.