基于标准遗传算法的结构优化设计

介绍了标准遗传算法的基本理论,探讨了其在结构优化设计上的模型与应用方法,并通过两个数值算例验证了遗传算法的高效性。     

基于遗传算法的钢筋混凝土偏心受压柱的优化设计

探讨了遗传算法在钢筋混凝土偏心受压柱全约束条件下优化设计中的应用,并针对基本遗传算法的缺陷,采用改进的遗传算法,以最优按比例复制的策略,以及使用适应值比例变换方法来进行优化。实例计算表明,该方法有助于解决结构优化设计问题。     

基于遗传算法的深基坑支护结构优化设计

利用遗传算法的基本原理 ,提出深基坑支护结构设计的全局优化算法 ,该方法模拟了生物遗传的过程 ,克服了传统优化方法容易陷入局部最优解的缺点 ,降低了对目标函数性质的要求 ,通过实例证明该方法的有效性。     

基于遗传算法的工程结构优化设计应用研究

通过对遗传算法和结构优化设计等方面的内容的进行了介绍与分析,在此基础上提出了遗传算法在工程结构优化设计的应用模型,并根据遗传算法的原理和特点,利用一个计算实例验证了遗传算法作为优化方法的高效性的优势。     

基于自适应遗传算法的污水管径优化设计

应用自适应遗传算法优化设计污水管网，直接以变量的二进制编码为操作对象进行寻优而得到离散的标准管径。较之其他优化方法，该法不易陷于局部最小值，而且能处理大规模优化问题。最后以算例验证了该方法的良好特性。     

基于遗传算法的铁路纵断面优化设计

通过分析纵断面优化问题的难点,提出利用遗传算法优化纵断面的思路,并对满足高程约束的遗传算法设计和工程费用寻优的遗传计算进行了详细讨论,优化结果表明,遗传算法非常适合纵断面优化设计,它可提高设计质量,减轻设计人员的工作强度,具有一定的实用价值。     

基于遗传算法悬臂式挡土墙优化设计

以挡土墙优化设计为出发点,提出一种可有效克服局部最优解的优化方法——遗传算法,就采用遗传算法进行悬臂式挡土墙优化设计的过程进行了深入探讨,并通过工程实例证明了该方法的有效性。     

基于遗传算法钢框架抗震优化设计

采用遗传算法对钢框架结构进行了抗震优化设计,编制了分析程序,并分析了算例,证明将遗传算法运用于抗震优化设计是行之有效的,丰富了钢结构优化设计的理论和方法。     

基于遗传算法的绿色建筑优化设计

建筑师在实际运用建筑节能设计标准过程中感觉标准较复杂、不方便。将遗传算法在多目标优化设计中的优势与建筑能耗仿真软件结合起来,建立一套绿色建筑优化设计方法或模型。以武汉地区住宅建筑为例,在最低能耗与最低成本的目标控制下,同时,优化设计建筑朝向、窗墙比、外墙构造、屋面构造、采暖温度设定点、空调温度设定点、遮阳系数、窗户玻璃类型的组合因素。将优化结果与现有绿色节能建筑设计规范进行对比,给出了绿色建筑设计中部分参数的新的参考值。     

基于遗传算法的混凝土搅拌机上料机构优化设计

介绍用遗传算法优化设计混凝土搅拌机上料机构。该算法采用二进制编码，取比例选择方式，交叉操作基于概率随机选择父本单点交叉，变异操作基于概率随机变异。采用惩罚函数方法，将约束优化问题转为无约束优化问题。给出了遗传算法优化混凝土搅拌机上料机构的优化结果。     

基于遗传算法的钢结构优化设计及相应软件开发

针对结构优化问题的强离散性和遗传算法求解离散变量优化问题的有效性,将遗传算法应用于钢结构优化问题的求解。针对简单遗传算法的早熟缺陷进行了改进,并将改进后的遗传算法应用于钢结构的优化设计中。基于改进遗传算法和《钢结构设计规范》(GB50017—2003)开发了钢结构优化设计工具箱。算例表明,软件具有简单、快速、有效等优点。     

Optimum design of steel truss arch bridges using a hybrid genetic algorithm

The design of steel truss arch bridges is formulated as an optimization problem. The objective function considered is the weight of the steel truss arch bridge. The objective function is minimized subjected to the design constraints of strength (stress) and serviceability (deflection). An efficient, accurate, and robust algorithm is proposed for optimal design of steel truss arch bridges. The proposed algorithm integrates the concepts of the genetic algorithm (GA) and the finite element method. A real-coded/integer-coded method is used to realistically represent the values of the design variables. Three GA operators consisting of constraint aggregate selection procedure, arithmetic crossover, and non-uniform mutation are proposed. Finite element method is used to compute values of implicit objective functions. A numerical example involving a detailed computational model of a long span steel truss arch bridge with a main span of 552 m is presented to demonstrate the applicability and merits of the proposed method.     

Optimum design of slurry pipelines by genetic algorithm

Various applications of slurry transportation through pipelines exist. A transportation problem is formulated to determine the pipe diameters and amounts of transported slurry from the production to the consumption points. The minimisation of the cost consisting of the pipe and energy cost terms is considered as the objective function. Pipe cost is given as the function of pipe diameters and the energy cost is defined as the function of pipe diameters and slurry amounts. Energy cost is obtained by using the relation that is previously determined after the experimental studies have been made for the magnetite ore. Genetic algorithm is used as the optimisation method and to apply this method a commercially available software written in the C language is used and modified. The proposed methodology to solve this non-linear programming problem is applied to a transportation system and it is found that the proposed methodology has made the complex, labour-intensive solution process very convenient for the users.     

Optimum design for unbonded posttensioned precast split shear wall system using genetic algorithm

Precast concrete structures are increasingly being adopted by building designers in regions of high seismicity. An unbonded posttensioned (PT) precast split shear wall system (UPPSSW) was proposed by the Precast Seismic Structural Systems (PRESSS). The UPPSSW system is composed of two or more single precast concrete wall panels that are connected together with energy‐dissipating shear connectors and anchored to the foundation with unbonded PT tendons located at the panel center. In this paper, an optimum design program has been developed for designing this system. The objective of the optimum process is to find the optimum combination between PT tendons and shear connectors while keeping the moment capacity of the wall equal to the applied design moment and achieving zero residual drift simultaneously. In addition, MATLAB was employed to explore an optimization program using genetic algorithm. Compared with the existing design methods for the system, the optimum design program proposed in this research is accurate, efficient, and direct. Moreover, it can yield the optimum design automatically and quickly. As a result, the existing lengthy and manual design process of trial and error for the system can be avoided.     

Optimum operational conditions of a rotary regenerator using genetic algorithm

The optimum operational conditions of an air-to-air rotary regenerator (also called air preheater or heat wheel) for air conditioning applications which was designed and manufactured in Energy Systems Improvement Laboratory (ESIL) has been investigated in this paper. The performance of such a rotary regenerator was modeled and the numerical values of modeling output were verified with the experimental data obtained from the equipment testing. In the next step, the optimum operational conditions of the rotary regenerator were obtained using genetic algorithm optimization technique subject to a list of constraints. The objective function in the optimization technique was the thermal effectiveness, while the design parameters (decision variables) were volumetric flow rates of cold and hot air streams, matrix rotational speed, and the exchanger frontal area (heat transfer surface area). The apparatus was tested under the optimized operating conditions and the results were compared with the results obtained numerically applying genetic algorithm optimization. The experimental value for the effectiveness showed an acceptable closeness (2.07%) with the corresponding value obtained from the system modeling and optimization. The economic analysis of energy savings by the designed and manufactured regenerator showed a pay back period about 3 years.     

Optimum design of cold-formed steel columns by using micro genetic algorithms

Cold-formed steel members such as beams and columns have the great flexibility of cross-sectional profiles and sizes available to structural steel designers. However, this flexibility makes the selection of the most economical section difficult for a particular situation. In this study, micro genetic algorithm (MGA) is used to find an optimum cross section of cold-formed steel channel and lipped channel columns under axial compression. Flexural, torsional and torsional–flexural buckling of columns and flat-width-to-thickness ratio of web, flange and lip are considered as constraints. The design curves are generated for optimum values of the thickness, the web flat-depth-to-thickness ratio, the flange flat-width-to-thickness ratio for columns. As numerical results, the optimum design curves are presented for various load level and column lengths.     

基于模拟退火算法的钢筋混凝土框架结构优化设计

结合我国现行的结构设计规范,对承受多工况荷载下的钢筋混凝土框架(RC)结构离散变量的优化设计问题,提出了一种基于模拟退火算法的优化算法。通过建立配筋模板数据库,将梁柱的计算配筋面积转换成最优的且满足规范和施工要求的实际配筋形式。在模拟退火算法中提出了自适应设计域技术,提高了算法的效率。将上述优化算法在大型有限元软件ANSYS和建筑结构设计专用软件SATWE软件上进行了程序实现。对一个15层的结构进行了优化设计,结果表明本文提出的方法是有效的和可操作的。     

Optimum design of steel sway frames to BS5950 using harmony search algorithm

Harmony search method based optimum design algorithm is presented for the steel sway frames. The harmony search method is a numerical optimization technique developed recently that imitates the musical performance process which takes place when a musician searches for a better state of harmony. Jazz improvisation seeks to find musically pleasing harmony similar to the optimum design process which seeks to find the optimum solution. The optimum design algorithm developed imposes the behavioral and performance constraints in accordance with BS5950. The member grouping is allowed so that the same section can be adopted for each group. The combined strength constraints considered for a beam-column take into account the lateral torsional buckling of the member. The algorithm presented selects the appropriate sections for beams and columns of the steel frame from the list of 64 Universal Beam sections and 32 Universal Column sections of the British Code. This selection is carried out so that the design limitations are satisfied and the weight of steel frame is the minimum. The number of design examples considered to demonstrate the efficiency of the algorithm is presented.