共查询到20条相似文献，搜索用时 31 毫秒
1.
为了提高计算机视觉领域中核心问题之一的基础矩阵估算的效率,基于条纹边界编码约束实现了一种快速估算方法．与传统的基于代数最小二乘法算法不同,该算法利用Hough变换将Hough半径作为最优化过程的最小化因子．在特定条纹边界编码的结构光投影系统模型下,利用条纹编码的共面性构造线性约束,采用Hough变换将同码像素映射到Hough空间,其交点的半径可作为最优化评价函数的最小化因子．再通过Levenberg—Marquardt最优化迭代过程估算出基本矩阵的全局最优解．实验结果表明了该算法的正确性,并证明了其可有效提高估算精度与效率． 相似文献
2.
This paper presents a novel approach to find optimum locations and capacity of flexible alternating current transmission system （FACTS） devices in a power system using a multi-objective optimization function. Thyristor controlled series compensators （TCSCs） and static var compensators （SVCs） are the utilized FACTS devices. Our objectives are active power loss reduction, newly introduced FACTS devices cost reduction, voltage deviation reduction, and increase on the robustness of the security margin against voltage collapse. The operational and controlling constraints, as well as load constraints, were considered in the optimum allocation. A goal attainment method based on the genetic algorithm （GA） was used to approach the global optimum. The estimated annual load profile was utilized in a sequential quadratic programming （SQP） optimization sub-problem to the optimum siting and sizing of FACTS devices. Fars Regional Electric Network was selected as a practical system to validate the performance and effectiveness of the proposed method. The entire investment of the FACTS devices was paid offand an additional 2.4% savings was made. The cost reduction of peak point power generation implies that power plant expansion can be postponed. 相似文献
3.
4.
实验分组设计是许多科学研究都要面临的问题,常常要求分组中的因子之间必须满足一定的约束关系,这样,该问题就转化为给定一组约束关系,要求设计出满足这组约束关系的实验分组。本文以心理学中的语言学习问题的实验研究为例,探讨了如何把这样一个具有约束的实验分组设计问题转化为最小化优化问题,然后使用禁忌搜索算法去解决它,仿真表明所采用的方法是有效的。 相似文献
5.
As an important element in sustainable building design, the building envelope has been witnessing a constant shift in the design approach. Integrating multi-objective optimization (MOO) into the building envelope design process is very promising, but not easy to realize in an actual project due to several factors, including the complexity of optimization model construction, lack of a dynamic-visualization capacity in the simulation tools and consideration of how to match the optimization with the actual design process. To overcome these difficulties, this study constructed an integrated building envelope design process (IBEDP) based on parametric modelling, which was implemented using Grasshopper platform and interfaces to control the simulation software and optimization algorithm. A railway station was selected as a case study for applying the proposed IBEDP, which also utilized a grid-based variable design approach to achieve flexible optimum fenestrations. To facilitate the stepwise design process, a novel strategy was proposed with a two-step optimization, which optimized various categories of variables separately. Compared with a one-step optimization, though the proposed strategy performed poorly in the diversity of solutions, the quantitative assessment of the qualities of Pareto-optimum solution sets illustrates that it is superior. 相似文献
6.
肖正安 《湖北第二师范学院学报》2012,(2):26-29
基于粒子群优化算法的无源模拟滤波器优化设计方法容易陷入局部最优,收敛速度慢迭代次数多、运算量大且稳定性不够好。提出果蝇优化算法对滤波器的整个参数空间进行高效并行搜索直到获得最优的参数值,实例仿真表明,采用该方法设计的滤波器在相同的带宽准确度及阻带衰减的情况下,具有更快的运算速度及收敛性能。 相似文献
7.
Jun-hai SHI Zhi-dan ZHONG Xin-jian ZHU Guang-yi CAO 《浙江大学学报(A卷英文版)》2008,9(3):401-409
This study presents a robust design method for autonomous photovoltaic （PV）-wind hybrid power systems to obtain an optimum system configuration insensitive to design variable variations. This issue has been formulated as a constraint multi-objective optimization problem, which is solved by a multi-objective genetic algorithm, NSGA-II. Monte Carlo Simulation （MCS） method, combined with Latin Hypercube Sampling （LHS）, is applied to evaluate the stochastic system performance. The potential of the proposed method has been demonstrated by a conceptual system design. A comparative study between the proposed robust method and the deterministic method presented in literature has been conducted, The results indicate that the proposed method can find a large mount of Pareto optimal system configurations with better compromising performance than the deterministic method. The trade-off information may be derived by a systematical comparison of these configurations, The proposed robust design method should be useful for hybrid power systems that require both optimality and robustness. 相似文献
8.
This paper concerns with modeling and design of an algorithm for the portfolio selection problems with fixed transaction costs and minimum transaction lots. A mean-variance model for the portfolio selection problem is proposed, and the model is formulated as a non-smooth and nonlinear integer programming problem with multiple objective functions. As it has been proven that finding a feasible solution to the problem only is already NP-hard, based on NSGA-II and genetic algorithm for numerical optimization of constrained problems (Genocop), a multi-objective genetic algorithm (MOGA) is designed to solve the model. Its features comprise integer encoding and corresponding operators, and special treatment of constraints conditions. It is illustrated via a numerical example that the genetic algorithm can efficiently solve portfolio selection models proposed in this paper.This approach offers promise for the portfolio problems in practice. 相似文献
9.
Many engineering optimization problems frequently encounter continuous variables and discrete variables which adds considerably to the solution complexity.Very few of the existing methods can yield a globally optimal solution when the objective functions are non-convex and non-differentiable.This paper presents a hybrid swarm intelligence approach(HSIA)for solving these nonlinear optimization problems which contain integer,discrete,zero-one and continuous variables.HSIA provides an improvement in global search reliability in a mixed-variable space and converges steadily to a good solution.An approach to handle various kinds of variables and constraints is discussed.Comparison testing of several examples of mixed-variable optimization problems in the literature showed that the proposed approach is superior to current methods for finding the best solution,in terms of both solution quality and algorithm robustness. 相似文献
10.
指出造林规划设计问题实质是一个离散约束优化问题。应用离散粒子群优化算法求解目标函数,以保证解的合理性法和惩罚函数法相结合处理约束条件。分析实例表明,离散粒子群优化算法可用来优化造林规划设计方案,与模拟退火算法比较,效果更好。此研究结果可为科学造林和最优化经营管理提供新思路,丰富粒子群应用领域。 相似文献
11.
This paper presents the topology optimization design of structures composed of plane stress elements. The authors' proposed
method of topology optimization by virtual laminated element is based on the Evolutionary Structural Optimization (ESO) method
of linear elasticity, but dose not require formation of as many elements as the conventional ESO method. The presented method
has the important feature of reforming the stiffness matrix in generating optimum topology. Calculation results showed that
this algorithm is simple and effective and can be applied for topology optimization of structures. 相似文献
12.
INTRODUCTION Most nonlinear optimization methods assumethat objective function variables are continuous.However, many practical engineering designproblems frequently encounter discrete variables aswell as continuous variables. Discrete variables areused in many ways such as the representation of theset of standard sized components, the decision onthe number of identical parts or the choice betweendifferent design options. For example, the numberof the teeth of a gear must be chosen … 相似文献
13.
简要叙述陡坡地段挡土墙和建筑后墙合一的结构形式与技术经济效果,旨在对建筑场地紧缺的我省山区建筑工程予以推广。 相似文献
14.
Medical image registration is the process of finding ageometric transformation between two image-based coordi-nate systems that have the same patient-based coordinates ,i .e .the same anatomic locations .The registered multi-mo-dality images lead to impro… 相似文献
15.
16.
An immune-tabu hybrid algorithm for thermal unit commitment of electric power systems 总被引：1，自引：0，他引：1
This paper presents a new method based on an immune-tabu hybrid algorithm to solve the thermal unit commitment （TUC） problem in power plant optimization. The mathematical model of the TUC problem is established by analyzing the generating units in modem power plants. A novel immune-tabu hybrid algorithm is proposed to solve this complex problem. In the algorithm, the objective function of the TUC problem is considered as an antigen and the solutions are considered as antibodies, which are determined by the affinity computation. The code length of an antibody is shortened by encoding the continuous operating time, and the optimum searching speed is improved. Each feasible individual in the immune algorithm （IA） is used as the initial solution of the tabu search （TS） algorithm after certain generations of IA iteration. As examples, the proposed method has been applied to several thermal unit systems for a period of 24 h. The computation results demonstrate the good global optimum searching performance of the proposed immune-tabu hybrid algorithm. The presented algorithm can also be used to solve other optimization problems in fields such as the chemical industry and the power industry. 相似文献
17.
过程系统综合问题通常是非线性和多峰的 ,求解该类问题的确定性方法通常会陷入局部极值陷井 ,随机方法则只能以一定概率得到全局最优解 .基于此 ,提出一种并行序贯寻优 (SNTO)方法 .该方法中 ,可行点均匀散布在可行域内 ,并行搜索模式为小样本条件下获得全局近最优解提供了可能 .对测试函数的有效求解验证了该方法的有效性 . 相似文献
18.
Hybrid discrete particle swarm optimization algorithm for capacitated vehicle routing problem 总被引：11，自引：0，他引：11
CHEN Ai-ling YANG Gen-ke WU Zhi-ming 《浙江大学学报(A卷英文版)》2006,7(4):607-614
INTRODUCTION The vehicle routing problem (VRP), which was first introduced by Dantzig and Ramser (1959), is a well-known combinatorial optimization problem in the field of service operations management and logis- tics. The capacitated vehicle routing problem (CVRP) is an NP-hard problem for simultaneously determining the routes for several vehicles from a central depot to a set of customers, and then return to the depot without exceeding the capacity constraints of each vehicle. In pr… 相似文献
19.
ＩＮＴＲＯＤＵＣＴＩＯＮＡｎｔｃｏｌｏｎｙａｌｇｏｒｉｔｈｍｓ (Ｈｅｒｔｚ ,ｅｔａｌ.,2 0 0 0 ) ,ｉｎｖｅｓｔｉｇａｔｅｄｓｙｓｔｅｍａｔｉｃａｌｌｙａｔｆｉｒｓｔｉｎＤｏｒｉｇｏ’ｓＰｈ .Ｄ .ｄｉｓｓｅｒｔａｔｉｏｎ ( 1 992 )ａｓｔｈｅｉｍｉ ｔａｔｉｏｎｏｆｔｈｅｆｏｏｄ ｓｅｅｋｉｎｇｂｅｈａｖｉｏｒｉｎａｎｔｓｏｃｉｅｔ ｉｅｓ,ｈａｖｅａｔｔｒａｃｔｅｄｔｈｅｇｒｅａｔａｔｔｅｎｔｉｏｎｏｆｒｅ ｓｅａｒｃｈｅｒｓｉｎｃｏｍｐｒｅｈｅｎｓｉｖｅｆｉｅｌｄｓｏｆｓｙｓｔｅｍｏｐｔｉ ｍｉｚａｔ… 相似文献
20.
振动沉管扩底灌注桩由于自身的优点，已经被越来越多的用于软弱地基处理工程。但是如何加强此类桩基工程在施工和试验阶段的质量控制是当前需要研究和解决的课题。结合此类桩基工程的实践体会，从工程监理的角度对振动沉管扩底灌注桩的质量控制进行了研究和探讨。 相似文献