CAJ | 학술논문

针对人工鱼群算法的缺陷，采用混沌扰动方法对其进行改进，提出了混沌扰动人工鱼群算法（CAFSA）。将计算智能技术应用于计算研究生创新实验评价体系各指标的权重，提出了基于改进层次分析法（IM-AHP）和CAFSA确定评价体系指标权重的智能计算方法，设计出了CAFSA实例化的具体方案。结果分析表明该方法是科学有效的。
침대인공어군산법적결함，채용혼돈우동방법대기진행개진，제출료혼돈우동인공어군산법（CAFSA）。장계산지능기술응용우계산연구생창신실험평개체계각지표적권중，제출료기우개진층차분석법（IM-AHP）화CAFSA학정평개체계지표권중적지능계산방법，설계출료CAFSA실례화적구체방안。결과분석표명해방법시과학유효적。
Aiming at the defects of artificial fish-swarm algorithm, we use chaos disturbance to improve the algorithm and then put forward chaos disturbance artificial fish algorithm(CAFSA). We use computational intelligence technology to calculate the index weight of each postgraduate innovative experiment evaluation system and propose an intelligent calculation method of the evaluation system weight based on improved analytic hierarchy process (IM-AHP) and CAFSA. At last, we design the concrete plans of CAFSA instantiation. The results show that the method is scientific and effective.