Performance Evaluations of Listed Companies Based on Projection Pursuit by Real-coded Accelerating Genetic Algorithm
Xinli Wang · 2009
In order to evaluating performance of listed companies comprehensively, this paper analyzes multi-index based on projection pursuit, and optimize the weight of financial indicators by Using RAGA (real coding based on accelerating genetic algorithm). This method succeeded in dynamic weighing, makes full use of data, obtains more reasonable and scientific comprehensive performance evaluation.