共查询到20条相似文献，搜索用时 31 毫秒
1.
当前差分进化算法研究主要集中在常规种群上,对小种群差分进化（DE）算法的研究较少。小种群差分进化算法因种群规模小,存在多样性降低过快的问题。因此提出一种基于控制参数双峰分布的小种群差分进化算法（BiMDE）。该算法采用基于柯西双峰分布的参数调节机制处理变异缩放因子 F 和交叉概率因子 CR,并对缩放因子 F 进行矢量化设定。将 BiMDE 算法在函数集 CEC2014 上进行测试,并与 5 种最新的小种群差分进化算法进行比较。结果表明,BiMDE 算法在求解精度、收敛速度以及多样性保持上具有较大优势。 相似文献
2.
一种改进的自适应差分演化算法 总被引：1，自引：0，他引：1
差分演化是一种简单、有效的全局数值优化算法,相关研究表明,参数的自适应能够有效提高算法的性能．提出了一种集成的混合参数自适应差分演化算法,并巧妙利用一种自适应选择机制来选择算法池中的算法,通过对25个国际标准测试函数进行测试,实验结果表明,该方法在最优解质量、稳定性、收敛速度优于其它被比较的算法． 相似文献
3.
SUDHAKARAN M. AJAY-D-VIMALRAJ P. PALANIVELU T.G. 《浙江大学学报(A卷英文版)》2007,8(6):896-903
This paper presents an efficient and reliable genetic algorithm (GA) based particle swarm optimization (PSO) tech- nique (hybrid GAPSO) for solving the economic dispatch (ED) problem in power systems. The non-linear characteristics of the generators, such as prohibited operating zones, ramp rate limits and non-smooth cost functions of the practical generator operation are considered. The proposed hybrid algorithm is demonstrated for three different systems and the performance is compared with the GA and PSO in terms of solution quality and computation efficiency. Comparison of results proved that the proposed algo- rithm can obtain higher quality solutions efficiently in ED problems. A comprehensive software package is developed using MATLAB. 相似文献
4.
An extended discrete particle swarm optimization algorithm for the dynamic facility layout problem 总被引：2，自引：0，他引：2
Hassan Rezazadeh Mehdi Ghazanfari Mohammad Saidi-Mehrabad Seyed Jafar Sadjadi 《浙江大学学报(A卷英文版)》2009,10(4):520-529
We extended an improved version of the discrete particle swarm optimization （DPSO） algorithm proposed by Liao et al.（2007） to solve the dynamic facility layout problem （DFLP）. A computational study was performed with the existing heuristic algorithms, including the dynamic programming （DP）, genetic algorithm （GA）, simulated annealing （SA）, hybrid ant system （HAS）, hybrid simulated annealing （SA-EG）, hybrid genetic algorithms （NLGA and CONGA）. The proposed DPSO algorithm, SA, HAS, GA, DP, SA-EG, NLGA, and CONGA obtained the best solutions for 33, 24, 20, 10, 12, 20, 5, and 2 of the 48 problems from （Balakrishnan and Cheng, 2000）, respectively. These results show that the DPSO is very effective in dealing with the DFLP. The extended DPSO also has very good computational efficiency when the problem size increases. 相似文献
5.
高光谱遥感使宽波段遥感中不可探测的物质可以被探测,成为了遥感界的一场新的革命．由于高光谱遥感图像波段多、光谱分辨率高、数据量庞大,给高光谱遥感数据实际应用分析带来极大不便．以特征选择为目的,以协方差矩阵特征值法为评价算法,设计实现了基于遗传算法和差分演化算法的降维过程．通过与传统的序列向前搜索的特征选择进行对比实验,比照搜索结果和算法耗时,验证了演化算法在特征选择的实现过程中具有良好的性能,证明了演化算法在高光谱图像降维中的实用价值．其中差分演化算法搜索结果十分稳定,可以替代完全搜索来寻找最优解． 相似文献
6.
The implementation and optimization of the traditional contour generation algorithms are always proposed for the common processor.
When processing high resolution images, the performance often exists low efficiency. A new graphics processing unit (GPU)-based
algorithm is proposed to get the clear and integrated contour of leaves. Firstly we implement the classic Sobel operator of
edge detection in GPU. Then a simple and effective method is designed to remove the fake edge and a heuristic algorithm is
used to repair the broken edge. It is proved by the experiments that the results of our algorithm are natural and realistic
in terms of morphology and can be good materials for the virtual plant. 相似文献
7.
Mohammad Khajehzadeh Mohd Raihan Taha Ahmed El-Shafie Mahdiyeh Eslami 《浙江大学学报(A卷英文版)》2011,12(6):415-427
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. 相似文献
8.
Parameters optimization and nonlinearity analysis of grating eddy current displacement sensor using neural network and genetic algorithm 总被引：1，自引：0，他引：1
A grating eddy current displacement sensor （GECDS） can be used in a watertight electronic transducer to realize long range displacement or position measurement with high accuracy in difficult industry conditions. The parameters optimization of the sensor is essential for economic and efficient production. This paper proposes a method to combine an artificial neural network （ANN） and a genetic algorithm （GA） for the sensor parameters optimization. A neural network model is developed to map the complex relationship between design parameters and the nonlinearity error of the GECDS, and then a GA is used in the optimization process to determine the design parameter values, resulting in a desired minimal nonlinearity error of about 0.11%. The calculated nonlinearity error is 0.25%. These results show that the proposed method performs well for the parameters optimization of the GECDS. 相似文献
9.
In order to enhance the reliability of an uncertain structure with interval parameters and reduce its chance of function failure under potentially critical conditions, an interval reliability-based design optimization model is constructed. With the introduction of a unified formula for efficiently computing interval reliability, a new concept of the degree of interval reliability violation (DIRV) and the DIRV-based preferential guidelines are put forward for the direct ranking of various design vectors. A direct interval optimization algorithm integrating a nested genetic algorithm (GA) and the Kriging technique is proposed for solving the interval reliability-based design model, which avoids the complicated model transformation process in indirect ones and yields an interval solution that provides more insights into the optimization problem. The effectiveness of the proposed algorithm is demonstrated by a numeric example. Finally, the proposed direct reliability-based design optimization method is applied to the optimization of a press upper beam with interval uncertain parameters, the results of which demonstrate its feasibility and effectiveness in engineering. 相似文献
10.
A fault diagnosis model is proposed based on fuzzy support vector machine (FSVM) combined with fuzzy clustering (FC).Considering the relationship between the sample point and non-self class,FC algorithm is applied to generate fuzzy memberships.In the algorithm,sample weights based on a distribution density function of data point and genetic algorithm (GA) are introduced to enhance the performance of FC.Then a multi-class FSVM with radial basis function kernel is established according to directed acyclic graph algorithm,the penalty factor and kernel parameter of which are optimized by GA.Finally,the model is executed for multi-class fault diagnosis of rolling element bearings.The results show that the presented model achieves high performances both in identifying fault types and fault degrees.The performance comparisons of the presented model with SVM and distance-based FSVM for noisy case demonstrate the capacity of dealing with noise and generalization. 相似文献
11.
INTRODUCTIONMostcountrieshaveimplementednewpoli ciesontheenergysavingandenvironmentpro tection.AmericanPresidentBushsigned“TheComprehensiveNationalEnergyPolicyAct”in1992statingthatnogeneral purpose ,three phaseinductionmotorswillbeallowedintoUnit edStat… 相似文献
12.
为了寻找更优的机器人移动路径,将沙猫群优化算法与三次样条插值方法进行融合,对沙猫群优化算法进行改进。在改进的沙猫群优化算法中,利用混沌映射的均匀性初始化种群以提高种群多样性;通过融合互利共生和莱维飞行策略减少局部最优解的消极影响,提高算法的收敛速度和精度。通过两种仿真实验对比6种优化算法的实验数据,结果表明,改进的沙猫群优化算法的最优解、最差解和平均解都优于对比算法,验证了改进沙猫群优化算法对于解决移动机器人路径规划问题的有效性和工程实用性。 相似文献
13.
For an energy-efficient induction machine, the life-cycle cost (LCC) usually is the most important index to the consumer.
With this target, the optimization design of a motor is a complex nonlinear problem with constraints. To solve the problem,
the authors introduce a united random algorithm. At first, the problem is divided into two parts, the optimal rotor slots
and the optimization of other dimensions. Before optimizing the rotor slots with genetic algorithm (GA), the second part is
solved with TABU algorithm to simplify the problem. The numerical results showed that this method is better than the method
using a traditional algorithm.
Project (No. 601299) supported by the Science Foundation of Hebei Province, China. 相似文献
14.
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15.
指出最优特征子集选择问题(OFSS)是个NP-Hard问题,寻找一个近似算法具有现实意义。遗传算法提供了一种求解复杂系统优化问题的通用框架。使用基于小生境技术的遗传算法求解OFSS问题,以获得较好收敛性、稳定性和较快的速度。 相似文献
16.
刘俊 《安徽教育学院学报》2010,28(6)
本文利用MATLAB软件仿真平台,比较研究了TD-SCDMA系统中基于传统的Schur算法和block-Schur两种联合检测算法。对两种算法在三种瑞利衰落信道模型中最差的CASE3情况下进行了性能比较,并对两种算法在不同用户数下的运算量做了仿真分析,仿真结果表明两种算法都能达到比较好的误码性能,在3GPP协议规定处,两种算法都能被系统所接受,并且block-Schur算法比传统的Schur算法具有更好的误码性能,运算效率高。 相似文献
17.
针对三角面网格提出了一种新的网格简化方法,简化过程主要包括网格删除和网格重构。根据需建立的数量比例权重来进行冗余网格删除工作,然后利用遗传算法建立修正适应度函数来重构网格,达到三角网格数量的精简与形状匹配最优化目标。最后通过一实例讨论与对比分析,验证了该方法的有效性和准确性。 相似文献
18.
PID控制是典型的工业控制,其核心内容是PID参数优化。为解决参数优化时不能确保得到最佳性能且耗时问题,通过改进粒子群算法学习因子,研究基于相等随机因子粒子群算法的PID参数优化,将其与标准的粒子群算法及迭代次数线性变化的学习因子进行比较。仿真结果表明,该算法性能指标tr、ts、δ%分别为1.782、3.285、14.07%,两种对比算法的tr、ts、δ%分别为1.804、4.825、24.33%和1.802、4.135、16.56%,改进算法提高了PID参数的稳定性、收敛速度和搜索精度,性能指标更优。 相似文献
19.
KHOSLA Arun KUMAR Shakti AGGARWAL K.K. 《浙江大学学报(A卷英文版)》2006,7(12):1989-1994
INTRODUCTION The particle swarm optimization (PSO) method is a member of the broad category of swarm intelli- gence techniques for finding optimized solutions. The PSO algorithm is based on the social behavior of animals such as flocking of birds and schooling of fish, etc. PSO has its origin in simulation for visual- izing the synchronized choreography of bird flock by incorporating concepts such as nearest-neighbor ve- locity matching and acceleration by distance (Par- sopoulos and V… 相似文献
20.
1IntroductionPath planning of autonomous mobile robot is pivotaltechnique for machine intelligence,which ai ms to finda non-collision path frominitial position to objectiveposition according to evaluation functions in anobstacle space[1].It can be described as travelersalesman problem(TSP),a typical combinationopti mization problem,which belongs to the well-known NP-hard opti mization[2].The mathematicaldefinition can be regarded as a mapG=(V,E),where eachlinee∈Ehas a nonnegative powerω(… 相似文献