摘要
为加快遗传算法的收敛速度,提高遗传算法的搜索效率和解的精度,提出一种改进的遗传算法———加速并行遗传算法。为合理确定模糊综合评价中各评价指标的权重,提出用加速并行遗传算法检验、修正判断矩阵一致性和计算判断矩阵各要素权重的模糊综合评价模型。实例表明,加速并行遗传算法的模糊综合评价模型直观、实用,计算结果稳定、精度高。
An improved genetic algorithm is presented——Acceleration Parallel Genetic Algorithm,which not only has quicker convergence speed but also can improve the search efficiency and result precision of genetic algorithm greatly.The key problem of fuzzy comprehensive evaluation in practice is how to reasonably quantify the weights of different evaluation indexes in the fuzzy system.On this basis,a new method namely acceleration parallel genetic algorithm-fuzzy comprehensive evaluation(APGA-AHP) is established,which can be used to check and correct the inconsistency of judgment matrix.The application shows that this method is visual,practical,with stable calculation result and high precision.
出处
《水电能源科学》
2005年第6期1-4,共4页
Water Resources and Power
基金
国家自然科学基金项目(50579009
70471090)
国家"十五"科技攻关项目(2004BA608B-02-02)
教育部优秀青年教师资助计划(教人司[2002]350)
关键词
模糊综合评价
判断矩阵
遗传算法
加速
并行
fuzzy comprehensive evaluation
judgment matrix
genetic algorithm
acceleration
parallel
