摘要
为处理深基坑支护方案优选中评价指标的一致化和无量纲化问题,克服模糊综合评价方法中建立隶属度函数的困难,文章探讨了利用加速遗传算法的模糊层次分析法建立的深基坑支护方案优选模型。结合实例及与其他方法对比表明该模型对模糊优先关系矩阵修正幅度小,所得优度值可信度高,评价结果离散程度较高,便于决策。
In order to make consistency and eliminate dimensions of evaluation indexes in optimization of bracing plans for deep excavation and to avoid establishing the membership function in fuzzy comprehensive evaluation, a new model for optimizing bracing plans for deep excavation using fuzzy Analytic Hierarchy Process based on the accelerating genetic algorithm （AGA-FAHP） is discussed in this paper. Comparison with other methods in practical examples show that the range of the FPRM which is revised is small, and the dependable degree of the optimization values and discrete degree of evaluation results are higher. So the presented model is favorable for decision-making.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2008年第3期412-414,422,共4页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(40702049)
安徽省自然科学基金资助项目(01045102)
关键词
深基坑支护
优选
模糊优先关系矩阵
加速遗传算法
bracing for deep excavation
optimization
fuzzy preferential relation matrix（FPRM）
accelerating genetic algorithm
