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Optimization of a Single Flash Geothermal Power Plant Powered by a Trans-Critical Carbon Dioxide Cycle Using Genetic Algorithm and Nelder-Mead Simplex Method
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作者 Yashar Aryanfar Jorge Luis García Alcaraz 《Energy Engineering》 EI 2023年第2期263-275,共13页
The usage of renewable energies,including geothermal energy,is expanding rapidly worldwide.The low efficiency of geothermal cycles has consistently highlighted the importance of recovering heat loss for these cycles.T... The usage of renewable energies,including geothermal energy,is expanding rapidly worldwide.The low efficiency of geothermal cycles has consistently highlighted the importance of recovering heat loss for these cycles.This paper proposes a combined power generation cycle(single flash geothermal cycle with trans-critical CO_(2) cycle)and simulates in the EES(Engineering Equation Solver)software.The results show that the design parameters of the proposed system are significantly improved compared to the BASIC single flash cycle.Then,the proposed approach is optimized using the genetic algorithm and the Nelder-Mead Simplex method.Separator pressure,steam turbine output pressure,and CO_(2) turbine inlet pressure are three assumed variable parameters,and exergy efficiency is the target parameter.In the default operating mode,the system exergy efficiency was 32%,increasing to 39%using the genetic algorithm and 37%using the Nelder-Mead method. 展开更多
关键词 OPTIMIZATION GEOTHERMAL genetic algorithm nelder-mead simplex exergy efficiency
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Hybrid Improved Self-adaptive Differential Evolution and Nelder-Mead Simplex Method for Solving Constrained Real-Parameters
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作者 Ngoc-Tam Bui Hieu Pham Hiroshi Hasegawa 《Journal of Mechanics Engineering and Automation》 2013年第9期551-559,共9页
In this paper, a new hybrid algorithm based on exploration power of a new improvement self-adaptive strategy for controlling parameters in DE (differential evolution) algorithm and exploitation capability of Nelder-... In this paper, a new hybrid algorithm based on exploration power of a new improvement self-adaptive strategy for controlling parameters in DE (differential evolution) algorithm and exploitation capability of Nelder-Mead simplex method is presented (HISADE-NMS). The DE has been used in many practical cases and has demonstrated good convergence properties. It has only a few control parameters as number of particles (NP), scaling factor (F) and crossover control (CR), which are kept fixed throughout the entire evolutionary process. However, these control parameters are very sensitive to the setting of the control parameters based on their experiments. The value of control parameters depends on the characteristics of each objective function, therefore, we have to tune their value in each problem that mean it will take too long time to perform. In the new manner, we present a new version of the DE algorithm for obtaining self-adaptive control parameter settings. Some modifications are imposed on DE to improve its capability and efficiency while being hybridized with Nelder-Mead simplex method. To valid the robustness of new hybrid algorithm, we apply it to solve some examples of structural optimization constraints. 展开更多
关键词 Differential evolution hybrid algorithms evolutionary computation global search local search simplex method.
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TLE orbit determination using simplex method
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作者 Jinghong Liu Wanting Long +3 位作者 Yunchen Wu Jin Xu Jizhang Sang Xiangxu Lei 《Geodesy and Geodynamics》 EI CSCD 2023年第5期438-455,共18页
Two-Line Element(TLE)datasets are the only orbital data source of Earth-orbiting space objects for many civil users for their research and applications.The datasets have uneven qualities that may affect the reliabilit... Two-Line Element(TLE)datasets are the only orbital data source of Earth-orbiting space objects for many civil users for their research and applications.The datasets have uneven qualities that may affect the reliability of the propagated positions of space objects using a single TLE.The least squares approach to use multiple TLEs also suffers from the poor quality of some TLEs,and reliable error information cannot be available.This paper proposes a simplex algorithm to estimate an optimal TLE from multiple TLEs and obtain the uncertainty of each element.It is a derivative-free technique that can deal with various orbit types.Experiments have demonstrated that using the TLE estimated from the simplex method is more reliable,stable,and effective than those from the batch least squares method.As an application example,the optimal TLE and its uncertainty are used for predicting the fallen area,keeping the actual fallen site in the prediction areas. 展开更多
关键词 Two-line element Reentry prediction Orbit determination simplex method Least squares
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Simplexmethod建模研讨
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作者 宋占奎 《杨凌职业技术学院学报》 2011年第4期22-24,28,共4页
目的 Linear Programming的simplexmethod建模求最优解。方法应用simplexmethod.结果建立了LinearProgramming的数学模型并用simplexmethod求得了最优解.结论因为单纯形表反映了Linear Programming的所有信息,故用simplexmethod可简便... 目的 Linear Programming的simplexmethod建模求最优解。方法应用simplexmethod.结果建立了LinearProgramming的数学模型并用simplexmethod求得了最优解.结论因为单纯形表反映了Linear Programming的所有信息,故用simplexmethod可简便地求得最优解.simplexmethod的基本思路是:先将Linear Programming用sim-plexmethod划为标准型,根据问题的标准型,进行初等行变换,将主元素列除主元素化为1外其余的元素均化为0,当基变量值全为非负时,问题就得到了最优解. 展开更多
关键词 对偶单纯形 影子价格 标准型 基变量 初始基 迭代法 检验数 最优解
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Global convergent algorithm for the bilevel linear fractional-linear programming based on modified convex simplex method 被引量:2
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作者 Guangmin Wang Bing Jiang +1 位作者 Kejun Zhu Zhongping Wan 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2010年第2期239-243,共5页
A global convergent algorithm is proposed to solve bilevel linear fractional-linear programming, which is a special class of bilevel programming. In our algorithm, replacing the lower level problem by its dual gap equ... A global convergent algorithm is proposed to solve bilevel linear fractional-linear programming, which is a special class of bilevel programming. In our algorithm, replacing the lower level problem by its dual gap equaling to zero, the bilevel linear fractional-linear programming is transformed into a traditional sin- gle level programming problem, which can be transformed into a series of linear fractional programming problem. Thus, the modi- fied convex simplex method is used to solve the infinite linear fractional programming to obtain the global convergent solution of the original bilevel linear fractional-linear programming. Finally, an example demonstrates the feasibility of the proposed algorithm. 展开更多
关键词 bilevel linear fractional-linear programming convex simplex method dual problem.
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Estimation of mass transfer coefficient in ozone absorption by linear least square fitting and Simplex search methods 被引量:1
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作者 海景 张刚 程江 《Journal of Central South University》 SCIE EI CAS 2012年第12期3396-3399,共4页
For physical ozone absorption without reaction,two parametric estimation methods,i.e.the common linear least square fitting and non-linear Simplex search methods,were applied,respectively,to determine the ozone mass t... For physical ozone absorption without reaction,two parametric estimation methods,i.e.the common linear least square fitting and non-linear Simplex search methods,were applied,respectively,to determine the ozone mass transfer coefficient during absorption and both methods give almost the same mass transfer coefficient.While for chemical absorption with ozone decomposition reaction,the common linear least square fitting method is not applicable for the evaluation of ozone mass transfer coefficient due to the difficulty of model linearization for describing ozone concentration dissolved in water.The nonlinear Simplex method obtains the mass transfer coefficient by minimizing the sum of the differences between the simulated and experimental ozone concentration during the whole absorption process,without the limitation of linear relationship between the dissolved ozone concentration and absorption time during the initial stage of absorption.Comparison of the ozone concentration profiles between the simulation and experimental data demonstrates that Simplex method may determine ozone mass transfer coefficient during absorption in an accurate and high efficiency way with wide applicability. 展开更多
关键词 linear least square fitting simplex search method ozone absorption mass transfer coefficient
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Partial Pricing Rule Simplex Method with Deficient Basis 被引量:1
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作者 Pingqi Pan Wei Li Jun Cao 《Numerical Mathematics A Journal of Chinese Universities(English Series)》 SCIE 2006年第1期23-30,共8页
A new partial pricing column rule is proposed to the basis-deficiency-allowing simplex method developed by Pan.Computational results obtained with a set of small problems and a set of standard NETLIB problems show its... A new partial pricing column rule is proposed to the basis-deficiency-allowing simplex method developed by Pan.Computational results obtained with a set of small problems and a set of standard NETLIB problems show its promise of success. 展开更多
关键词 线性规划 单纯形法 部分定价 定价原理
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PID Parameters for Tuning and Optimization of a Turbine EngineBased on the Simplex Search Method 被引量:1
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作者 ZHANG Hong CAI Yuan-hu CHEN Yu-chun 《International Journal of Plant Engineering and Management》 2009年第4期250-254,共5页
A PID parameters tuning and optimization method for a turbine engine based on the simplex search method was proposed. Taking time delay of combustion and actuator into account, a simulation model of a PID control syst... A PID parameters tuning and optimization method for a turbine engine based on the simplex search method was proposed. Taking time delay of combustion and actuator into account, a simulation model of a PID control system for a turbine engine was developed. A performance index based on the integral of absolute error (IAE) was given as an objective function of optimization. In order to avoid the sensitivity that resulted from the initial values of the simplex search method, the traditional Ziegler-Nichols method was used to tune PID parameters to obtain the initial values at first, then the simplex search method was applied to optimize PID parameters for the turbine engine. Simulation results indicate that the simplex search method is a reasonable and effective method for PID controller parameters tuning and optimization. 展开更多
关键词 turbine engine PID (proportion integral and differential) control simplex search method tuning OPTIMIZATION
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Numerical Optimization of Sand Casting Parameters Using the Dantzig’s Simplex Method
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作者 John Ogheneortega Oji Simon Godenaan Datau +4 位作者 Kunle Joseph Akinluwade Adeyinka Taofeek Taiwo Dayo Adeyemi Isadare Sunday Hendrix Pamtoks Adelana Rasaki Adetunji 《Journal of Minerals and Materials Characterization and Engineering》 2013年第5期250-256,共7页
This study adopts the Dantzig’s Simplex method to investigate optimization of sand casting parameters for optimum service performance. Some process variables and mechanical properties were adapted into the Simplex me... This study adopts the Dantzig’s Simplex method to investigate optimization of sand casting parameters for optimum service performance. Some process variables and mechanical properties were adapted into the Simplex method. Aluminium alloy samples were cast, machined and subjected to a series of mechanical tests. From the body of data collected, linear functions and constraint equations were formulated and employed in the Dantzig’s Simplex method for optimization of process parameters. The results showed that the Simplex method can be adapted for studying performance opti- mization of castings. 展开更多
关键词 SAND CASTING Dantzig’s simplex method Optimization CONSTRAINT EQUATIONS Aluminium Alloy
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Application of Simplex Method in the Radiotherapy Treatment
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作者 Thais R. Salvador Silvia M. S. Carvalho Mayk V. Coelho 《Applied Mathematics》 2016年第17期2229-2240,共12页
This work presents an application of the Simplex Method for solving an optimal planning problem for cancer treatment by radiotherapy. Linear Programming can aid the optimal planning for radiation therapy, where the co... This work presents an application of the Simplex Method for solving an optimal planning problem for cancer treatment by radiotherapy. Linear Programming can aid the optimal planning for radiation therapy, where the concern is to apply a high enough radiation in the tumor while saving significantly healthy regions or critical organs. 展开更多
关键词 Linear Programming simplex method RADIOTHERAPY
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Minimizing Complementary Pivots in a Simplex-Based Solution Method for a Quadratic Programming Problem
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作者 Elias Munapo 《American Journal of Operations Research》 2012年第3期308-312,共5页
The paper presents an approach for avoiding and minimizing the complementary pivots in a simplex based solution method for a quadratic programming problem. The linearization of the problem is slightly changed so that ... The paper presents an approach for avoiding and minimizing the complementary pivots in a simplex based solution method for a quadratic programming problem. The linearization of the problem is slightly changed so that the simplex or interior point methods can solve with full speed. This is a big advantage as a complementary pivot algorithm will take roughly eight times as longer time to solve a quadratic program than the full speed simplex-method solving a linear problem of the same size. The strategy of the approach is in the assumption that the solution of the quadratic programming problem is near the feasible point closest to the stationary point assuming no constraints. 展开更多
关键词 QUADRATIC PROGRAMMING CONVEX Karusha-Kuhn-Tucker simplex method
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Using the Simplex Method for a Type of Allocation Problems
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作者 Yoshihiro Tanaka 《American Journal of Computational Mathematics》 2019年第2期25-31,共7页
In this study we discuss the use of the simplex method to solve allocation problems whose flow matrices are doubly stochastic. Although these problems can be solved via a 0 - 1 integer programming method, H. W. Kuhn [... In this study we discuss the use of the simplex method to solve allocation problems whose flow matrices are doubly stochastic. Although these problems can be solved via a 0 - 1 integer programming method, H. W. Kuhn [1] suggested the use of linear programming in addition to the Hungarian method. Specifically, we use the existence theorem of the solution along with partially total unimodularity and nonnegativeness of the incidence matrix to prove that the simplex method facilitates solving these problems. We also provide insights as to how a partition including a particular unit may be obtained. 展开更多
关键词 ALLOCATION PROBLEMS Hall’s THEOREM Totally Unimodular MATRIX simplex method
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基于Nelder-Mead算法的PVD加热器结构优化
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作者 周皓天 张勤芳 +1 位作者 卢倩 龙汝磊 《盐城工学院学报(自然科学版)》 CAS 2023年第3期65-72,共8页
为提高蒸发镀膜机内基板温度均匀性,以蒸发镀膜机为研究对象进行建模,采用COMSOL有限元软件对真空环境下的基板加热器温度场进行有限元仿真,并耦合PID算法用于温度控制,揭示了基板温度分布规律。在此基础上对基板温度均匀性的影响因素... 为提高蒸发镀膜机内基板温度均匀性,以蒸发镀膜机为研究对象进行建模,采用COMSOL有限元软件对真空环境下的基板加热器温度场进行有限元仿真,并耦合PID算法用于温度控制,揭示了基板温度分布规律。在此基础上对基板温度均匀性的影响因素进行研究,并借助Nelder-Mead单纯形法对加热系统进行优化。结果表明,当顶加热丝间距与侧加热丝间距为1∶1.23、加热距离为440 mm、反射距离为3.56 mm时,基板表面最大温差由优化前的16.5℃降低至9.9℃,温度均匀性得到改善。最后,结合实测数据分析显示,仿真结果与实测数据误差为6%,验证了优化的有效性。 展开更多
关键词 蒸发镀膜机 PID算法 温度均匀性 单纯形法 系统优化
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融合历史记忆的单纯形引导鲸鱼优化算法 被引量:1
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作者 杜晓昕 周薇 +2 位作者 王波 王振飞 张剑飞 《齐齐哈尔大学学报(自然科学版)》 2024年第2期40-44,50,共6页
针对鲸鱼优化算法存在易陷入局部最优、收敛速度慢等缺点,提出一种融合历史记忆的单纯形引导鲸鱼优化算法。首先,为了避免初始化种群过于集中而陷入局部最优,提出了使用混沌映射对初始化种群进行改进,增加了种群多样性;其次,为了解决算... 针对鲸鱼优化算法存在易陷入局部最优、收敛速度慢等缺点,提出一种融合历史记忆的单纯形引导鲸鱼优化算法。首先,为了避免初始化种群过于集中而陷入局部最优,提出了使用混沌映射对初始化种群进行改进,增加了种群多样性;其次,为了解决算法收敛精度低和收敛速度慢的问题,提出了融合历史记忆的单纯形引导策略,利用单纯形法和构建的历史记忆表求解出一个虚拟最优解作为下次随机搜索阶段的引导者,帮助种群在前期的勘探过程中进行细致地搜索;最后提出一种新的非线性参数策略,平衡算法的开发和勘探能力。将算法应用于12个典型的复杂函数优化问题,并与其他5种智能算法比较,实验结果表明,改进后的算法在收敛精度与速度方面均为第一,具有良好的全局搜索能力和局部开发能力。 展开更多
关键词 鲸鱼优化算法 混沌映射 单纯形法 非线性参数
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基于谱方法和单纯形算法的一类偏微分方程参数反演研究
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作者 王福昌 贺财宝 《滨州学院学报》 2024年第2期41-45,共5页
根据观测数据反演偏微分方程参数具有重要的应用价值。通过基于快速傅立叶变换的谱方法实现对偏微分方程快速高精度求解,与观测数据结合建立待优化的目标函数,再用带边界约束的Nelder-Mead单纯形优化方法进行参数反演。通过算例证实了... 根据观测数据反演偏微分方程参数具有重要的应用价值。通过基于快速傅立叶变换的谱方法实现对偏微分方程快速高精度求解,与观测数据结合建立待优化的目标函数,再用带边界约束的Nelder-Mead单纯形优化方法进行参数反演。通过算例证实了算法的有效性。 展开更多
关键词 快速傅立叶变换 谱方法 nelder-mead单纯形法 偏微分方程 参数反演
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单纯形法的复杂性与计算效率 被引量:1
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作者 雍龙泉 刘三阳 《高等数学研究》 2024年第3期50-52,55,共4页
给出了三个线性规划例子,及用单纯形法求解的过程,解释了求解线性规划的单纯形法为什么属于指数算法.
关键词 线性规划 单纯形法 指数算法
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改进麻雀搜索算法的入侵检测特征选择
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作者 刘涛 蒙学强 《计算机工程与设计》 北大核心 2024年第4期989-996,共8页
针对网络入侵检测所处理数据存在特征维数高、检测效率低、准确率不高的问题,提出一种改进麻雀搜索算法的特征选择方法,旨在减少特征冗余的同时提高分类准确率。利用改进Circle映射初始化种群;结合秃鹰搜索算法中的螺旋搜索方式更新发... 针对网络入侵检测所处理数据存在特征维数高、检测效率低、准确率不高的问题,提出一种改进麻雀搜索算法的特征选择方法,旨在减少特征冗余的同时提高分类准确率。利用改进Circle映射初始化种群;结合秃鹰搜索算法中的螺旋搜索方式更新发现者位置;采用单纯形法和小孔成像法优化适应度较差和最优麻雀的位置,提升算法的寻优能力。将该算法与其它算法在6个经典基准函数上进行对比测试,其在收敛速度、精度等方面均有提升。使用数据集CIC-IDS2017进行特征选择实验,平均保留了7.6个特征,准确率达到了99.5%,结果表明,该算法可以在保证准确率的同时有效降低特征维度。 展开更多
关键词 麻雀搜索算法 Circle映射 螺旋搜索 单纯形法 小孔成像 入侵检测 特征选择
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基于Nelder-Mead单纯形法的改进量子行为粒子群算法 被引量:9
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作者 郑伟博 张纪会 《复杂系统与复杂性科学》 EI CSCD 北大核心 2016年第2期97-104,共8页
针对PSO算法搜索精度较低,并且在复杂多模态函数优化中,容易陷入局部极值的问题,提出了一种改进的量子行为粒子群优化算法。研究了该算法的基本原理、给出了算法流程并采用正交试验的方式获得了一套通用性较强的算法参数。并以CEC’13... 针对PSO算法搜索精度较低,并且在复杂多模态函数优化中,容易陷入局部极值的问题,提出了一种改进的量子行为粒子群优化算法。研究了该算法的基本原理、给出了算法流程并采用正交试验的方式获得了一套通用性较强的算法参数。并以CEC’13的28个测试函数作为测试集,采用Wilcoxon符号秩检验将NM-QPSO算法分别与PSO算法和QPSO算法的误差进行比较试验。试验表明:NM-QPSO算法在统计意义上优于传统的PSO算法和QPSO算法,并且在高维函数优化中,具有显著优势。 展开更多
关键词 群体智能 粒子群优化算法 量子行为粒子群优化算法 Nelder Mead单纯形法
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基于Nelder-Mead算法的插装阀AMESim仿真模型优化设计 被引量:4
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作者 马昌训 吴运新 +1 位作者 唐宏宾 高明 《机床与液压》 北大核心 2011年第1期86-88,共3页
详细分析二通插装阀的数学模型,建立其流量与进出口压差之间的关系,利用AMESim中的Hydraulic Component Design(HCD)库搭建二通插装阀的仿真模型。根据无导数的Nelder-Mead单纯形优化算法理论,借助Matlab对模型的结构参数进行优化。采... 详细分析二通插装阀的数学模型,建立其流量与进出口压差之间的关系,利用AMESim中的Hydraulic Component Design(HCD)库搭建二通插装阀的仿真模型。根据无导数的Nelder-Mead单纯形优化算法理论,借助Matlab对模型的结构参数进行优化。采用优化结果仿真得到的流量-压降特性曲线与期望特性曲线相当接近,验证了仿真模型的准确性和优化方法的有效性。 展开更多
关键词 二通插装阀 AMESIM仿真 HCD模型 Nelder—Mead单纯形 优化设计
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基于Nelder-mead单纯形法的改进人工蜂群算法研究 被引量:8
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作者 苏宏升 殷凯乐 《计算机工程与应用》 CSCD 北大核心 2016年第24期50-56,共7页
针对现有的人工蜂群算法(Artificial Bee Colony,ABC)在进化速度和求解质量方面难以兼顾的缺点,提出一种基于Nelder-mead单纯形法的改进人工蜂群算法(Nelder-Mead Simplex Method based Improved Artificial Bee Colony,NMSM-IABC)。在... 针对现有的人工蜂群算法(Artificial Bee Colony,ABC)在进化速度和求解质量方面难以兼顾的缺点,提出一种基于Nelder-mead单纯形法的改进人工蜂群算法(Nelder-Mead Simplex Method based Improved Artificial Bee Colony,NMSM-IABC)。在迭代过程中,该算法周期性地将单纯形算子得到的最优个体迁移到人工蜂群算法的蜂群中,或将蜂群中的最优蜜源信息迁移到Nelder-mead单纯形算法中。旨在ABC借助NM-SM提高局部搜索能力,NM-SM借助ABC跳出局部最优点,达到两者协同搜索。再者,为了进一步加快收敛速度,在ABC中采用一种改进的跟随蜂搜索策略,并对产生侦察蜂的关键参数进行灵敏度分析。最后,通过6个典型的多维测试函数对算法进行仿真测试。结果表明:提出的算法有效地避免了陷入局部最优,提高全局搜索能力和搜索精度,有较快的收敛速度,是一种较好的协同搜索算法。 展开更多
关键词 人工蜂群算法 nelder-mead单纯形法 协同搜索 灵敏度分析 全局搜索
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