结合遗传算法和改进CRITIC-GRA-TOPSIS的美学评价方法OA

Current design evaluation methods often suffer from issues such as subjectivity,uncertainty,and randomness.In response,this study proposes an innovative aesthetic evaluation approach that combines genetic algorithms with an enhanced CRITIC-GRA-TOPSIS integrated assessment.The method begins to optimize product family morphological features using a genetic algorithm,grounded in aesthetic computation principles.It then explores various aesthetic dimensions,establishes an index system for aesthetic evaluation,and quantifies aesthetic feature indicators through computational principles.To enhance objectivity,an improved CRITIC method is employed to determine weights for each criterion.The GRA-TOPSIS method is finally applied to calculate comprehensive evaluations and establish a rankingusing these criterion weights.Validated through experiments focusing on automotive headlights and compared with existing methods,this approach demonstrates its feasibility and applicability.The research results highlight the model's accuracy and objectivity in providing a quantitative assessment of product aesthetics,presenting a promising and effective alternative for aesthetic evaluation.