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Modified particle swarm optimization for optimum design of spread footing and retaining wall

Modified particle swarm optimization for optimum design of spread footing and retaining wall

作     者:Mohammad KHAJEHZADEH Mohd Raihan TAHA Ahmed EL-SHAFIE Mahdiyeh ESLAMI 

作者机构:Department of Civil EngineeringAnar BranchIslamic Azad University Department of Civil and Structural EngineeringUniversity Kebangsaan Malaysia Department of Electrical EngineeringAnar BranchIslamic Azad University 

出 版 物:《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报(英文版)A辑(应用物理与工程))

年 卷 期:2011年第12卷第6期

页      面:415-427页

核心收录:

学科分类:0810[工学-信息与通信工程] 081401[工学-岩土工程] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0814[工学-土木工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

主  题:Particle swarm optimization (PSO) Spread footing Retaining wall Sensitivity analysis 

摘      要:This paper deals with the economically optimized design and sensitivity of two of the most widely used systems in geotechnical engineering: spread footing and retaining wall. Several recent advanced optimization methods have been developed, but very few of these methods have been applied to geotechnical problems. The current research develops a modified particle swarm optimization (MPSO) approach to obtain the optimum design of spread footing and retaining wall. The algorithm handles the problem-specific constraints using a penalty function approach. The optimization procedure controls all geotechnical and structural design constraints while reducing the overall cost of the structures. To verify the effectiveness and robustness of the proposed algorithm, three case studies of spread footing and retaining wall are illustrated. Comparison of the results of the present method, standard PSO, and other selected methods employed in previous studies shows the reliability and accuracy of the algorithm. Moreover, the parametric performance is investigated in order to examine the effect of relevant variables on the optimum design of the footing and the retaining structure utilizing the proposed method.

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