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Probability Simulation Optimization Approach Using Orthogonal Genetic Algorithm 认领 引用
1
作者 WANG Yinling XING Lining YAN Shiliang 《Wuhan University Journal of Natural Sciences》 EI CAS 2006年第6期1481-1484,共4页
In order to solve the complex optimization problem dealing with uncertain phenomenon effectively, this paper presents a probability simulation optimization approach using orthogonal genetic algorithm. This approach sy... In order to solve the complex optimization problem dealing with uncertain phenomenon effectively, this paper presents a probability simulation optimization approach using orthogonal genetic algorithm. This approach synthesizes the computer simulation technology, orthogonal genetic algorithm and statistical test method faultlessly, which can solve complex optimization problem effectively. In this paper, the author gives the correlative conception of probability simulation optimization and describes the probability simulation optimization approach using orthogonal genetic algorithm in detail. Theoretically speaking, it has a strong rationality and maneuverability that can apply probability method in solving the complex optimization problems with uncertain phenomenon. In demonstration, the optimization performance of this method is better than other traditional methods. Simulation resuh suggests that the approach referred to this paper is feasible, correct and valid. 展开更多
关键词 simulation optimization orthogonal genetic algorithm statistical test computer simulation optimization technology
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Simulation optimization for train movement on a single-track railway 认领 引用
2
作者 叶晶晶 李克平 《Chinese Physics B》 SCIE EI CAS CSCD 2013年第5期91-95,共5页
Optimizing train movement has a great significance for railway traffic. In this paper, based on the optimal velocity car-following model, we propose a new simulation model for optimizing train movement in railway traf... Optimizing train movement has a great significance for railway traffic. In this paper, based on the optimal velocity car-following model, we propose a new simulation model for optimizing train movement in railway traffic. Here a kind of single-track railway is considered. Our aim is to reduce the energy consumption of train movement and ensure the train being on time by controlling the velocity curve of train movement. The simulation results indicate that the proposed model is effective for optimizing train movement. In addition, some major characteristics of train movement can be well captured. This method provides a new way to optimize train movement in railway traffic. 展开更多
关键词 train movement simulation optimization car-following model
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Digital Twin Modeling and Simulation Optimization of Transmission Front and Middle Case Assembly Line 认领 引用 被引量：1
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作者 Xianfeng Cao Meihua Yao +2 位作者 Yahui Zhang Xiaofeng Hu Chuanxun Wu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第6期3233-3253,共21页
As the take-off of China’s macro economy,as well as the rapid development of infrastructure construction,real estate industry,and highway logistics transportation industry,the demand for heavy vehicles is increasing ... As the take-off of China’s macro economy,as well as the rapid development of infrastructure construction,real estate industry,and highway logistics transportation industry,the demand for heavy vehicles is increasing rapidly,the competition is becoming increasingly fierce,and the digital transformation of the production line is imminent.As one of themost important components of heavy vehicles,the transmission front andmiddle case assembly lines have a high degree of automation,which can be used as a pilot for the digital transformation of production.To ensure the visualization of digital twins(DT),consistent control logic,and real-time data interaction,this paper proposes an experimental digital twin modeling method for the transmission front and middle case assembly line.Firstly,theDT-based systemarchitecture is designed,and theDT model is created by constructing the visualization model,logic model,and data model of the assembly line.Then,a simulation experiment is carried out in a virtual space to analyze the existing problems in the current assembly line.Eventually,some improvement strategies are proposed and the effectiveness is verified by a new simulation experiment. 展开更多
关键词 Transmission front and middle case assembly line digital twin(DT) simulating optimization intelligent manufacturing
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On-Line Tuning Scheme for the Generalized Predictive Controller via Simulation Optimization 认领 引用
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作者 Li Shaoyuan Institute of Automation, Shanghai Jiaotong University, Shanghai 200030, P. R. China 《Journal of Systems Engineering and Electronics》 EI 2003年第2期57-62,共6页
Predictive control has recently received much attention from researchers. However a challenging problem to be solved is how to tune the parameters of the predictive controller. So far, only few guidelines related to t... Predictive control has recently received much attention from researchers. However a challenging problem to be solved is how to tune the parameters of the predictive controller. So far, only few guidelines related to tuning of the parameters of predictive controllers have been provided in literature. In practice, these parameters are generally off-line determined by the designers' experience. From the point of view of process control, it is difficult to find out the optimal parameters for the control system based on a single quadratic performance index, which is used in the standard predictive control algorithm. The fuzzy decision-making function is investigated in this paper. Firstly, M control actions are achieved by unconstrained predictive control algorithm, and fuzzy goals and fuzzy constraints are then calculated and the global satisfaction degree is obtained by fuzzy inference. Moreover, the weighting coefficient λ in the cost function is tuned using simulation optimization according to the fuzzy criteria. 展开更多
关键词 Predictive control Simulation optimization Fuzzy decision-making.
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Preface:Special Issue on Simulation Optimization-A Powerful Tool in Operations Research and Management Science 认领 引用
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作者 L.Jeff Hong Jun Luo +1 位作者 Guang-Xin Jiang Wei-Wei Fan 《Journal of the Operations Research Society of China》 EI CSCD 2025年第3期685-687,共3页
This special issue focuses on simulation optimization(SO),which combines stochastic simulation with optimization techniques to address complex decisionmaking problems under uncertainty.SO has gained increasing importa... This special issue focuses on simulation optimization(SO),which combines stochastic simulation with optimization techniques to address complex decisionmaking problems under uncertainty.SO has gained increasing importance in areas such as transportation,supply chain and manufacturing,providing solutions where traditional analytical methods may fail.Recent advances in computing,data analytics,and artificial intelligence have significantly enhanced the efficiency and capability of SO methods,enabling the development of innovative techniques.This special issue aims to highlight recent theoretical and practical advancements in SO,showcasing its potential to solve real-world problems and inspiring further research and application in this dynamic field. 展开更多
关键词 simulation optimization simulation optimization which decisionmaking problems optimization techniques stochastic simulation analytical methods artificial intelligence
A simulation optimization method for coordination of production,transportation and sales 认领 引用 被引量：1
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作者 Yi Zheng Ming Lei Yijie Peng 《Fundamental Research》 CSCD 2025年第2期473-485,共13页
This study considers a problem of coordinating production,transportation and sales in a multi-echelon supply chain network.A simulation model is built to generate the random customer demands at different locations,whi... This study considers a problem of coordinating production,transportation and sales in a multi-echelon supply chain network.A simulation model is built to generate the random customer demands at different locations,which are affected by a marketing strategy.Customer demands need to be satisfied by the supply chain through production,transportation and distribution.The optimization problem for coordination of production,trans-portation and distribution is first formulated as a linear programming with demands as input parameters in the constraint.Our objective is to maximize the expectation of the optimal profit of the supply chain given random demands by selecting an optimal marketing strategy.A simulation optimization technique is proposed to con-trol the generation of random demands and solve the linear programming for efficiently learning the optimal marketing strategy.Numerical results show that our method can significantly improve the expected profit of the supply chain and reduce the computational burden of solving linear programming for achieving a given level of probability of correct selection of the optimal marketing strategy.Furthermore,we extend the optimization problem to a mixed integer programming and also demonstrate the computational efficiency of our proposed method. 展开更多
关键词 Supply chain coordination Marketing strategy Simulation optimization Linear programming Mixed integer linear programming
Simulation Optimization for Inpatient Bed Allocation with Sharing 认领 引用
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作者 Jie Li Sichen Li +1 位作者 Jun Luo Haihui Shen 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2025年第1期55-77,共23页
The inpatient bed allocation that allows beds shared among different departments is an important and challenging problem for a healthcare system. When the objective function(s) and (some) constraints need to be estima... The inpatient bed allocation that allows beds shared among different departments is an important and challenging problem for a healthcare system. When the objective function(s) and (some) constraints need to be estimated via expensive and noisy stochastic simulation, a simulation optimization algorithm is required to solve this problem. In literature, there is a heuristic algorithm highly customized for one specific inpatient bed allocation problem, and it performs quite well on that problem. However, its lack of theoretical convergence and high specialization may not give practitioners enough confidence to apply it on real inpatient bed allocation problems. To mitigate such issues, this paper proposes to use the empirical stochastic branch-and-bound (ESB&B) algorithm, which is theoretically convergent and suitable for relatively general problems. A modest improvement for the original ESB&B algorithm is made and how to adapt the ESB&B algorithm to inpatient bed allocation problems is presented. Numerical experiments reveal the generality and fairly satisfying performance of the ESB&B algorithm, and the superiority of the improved ESB&B algorithm over the original one. 展开更多
关键词 Healthcare management resource sharing bed allocation simulation optimization empirical stochastic branch-and-bound(ESB&B)
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Review of Large-Scale Simulation Optimization 认领 引用
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作者 Wei-Wei Fan L.Jeff Hong +1 位作者 Guang-Xin Jiang Jun Luo 《Journal of the Operations Research Society of China》 EI CSCD 2025年第3期688-722,共35页
Large-scale simulation optimization(SO)problems encompass both large-scale ranking-and-selection problems and high-dimensional discrete or continuous SO problems,presenting significant challenges to existing SO theori... Large-scale simulation optimization(SO)problems encompass both large-scale ranking-and-selection problems and high-dimensional discrete or continuous SO problems,presenting significant challenges to existing SO theories and algorithms.This paper begins by providing illustrative examples that highlight the differences between large-scale SO problems and those of a more moderate scale.Subsequently,it reviews several widely employed techniques for addressing large-scale SOproblems,such as divide-and-conquer,dimension reduction,and gradient-based algorithms.Additionally,the paper examines parallelization techniques leveraging widely accessible parallel computing environments to facilitate the resolution of large-scale SO problems. 展开更多
关键词 Simulation optimization Large-scale problems Ranking and selection·Dimension reduction Gradient-based algorithms Parallel algorithms
Systematic Literature Review on Multi-Objective Simulation Optimization 认领 引用
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作者 Mariane Gonçalves de Alcantara Aneirson Francisco da Silva +1 位作者 Fernando Augusto Silva Marins Rafael de Carvalho Miranda 《Complex System Modeling and Simulation》 EI 2025年第2期190-220,共31页
Simulation optimization is a rapidly growing research field,fueled by advances in computational technology.These advances have made it possible to solve complex stochastic optimization problems through simulation.Whil... Simulation optimization is a rapidly growing research field,fueled by advances in computational technology.These advances have made it possible to solve complex stochastic optimization problems through simulation.While most published articles focus on single-objective optimization,multi-objective optimization is gaining prominence,allowing the approach of real-world problems that present multiple,conflicting objectives.In this context,the objective of this article was to conduct a systematic literature review to identify articles that present solution methods for Multi-Objective Simulation Optimization(MOSO)problems.The focus was on practical optimization applications in conjunction with Discrete Event Simulation(DES)models,aiming to identify the main aspects of the problems addressed,the methods used,and research opportunities,contributing to future projects.By exploring the characteristics of MOSO problems associated with DES and the applied solution methods,this article innovatively presents a guide to help professionals improve their decision-making processes and assist researchers in developing new research. 展开更多
关键词 simulation optimization multi-objective models discrete event simulation bibliometric analysis systematic literature review decision making guide
Research on the Optimization and Simulation of Assembly Line Balancing Based on Improved PSO Algorithm 认领 引用
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作者 Wenkang Zhang 《Journal of World Architecture》 2025年第3期159-168,共10页
In response to the deficiencies of commonly used optimization methods for assembly lines,a production demand-oriented optimization method for assembly lines is proposed.Taking a certain compressor assembly line as an ... In response to the deficiencies of commonly used optimization methods for assembly lines,a production demand-oriented optimization method for assembly lines is proposed.Taking a certain compressor assembly line as an example,the production rhythm and the number of workstations are calculated based on production requirements and working systems.With assembly rhythm and smoothing index as optimization goals,an improved particle swarm optimization algorithm is employed for process allocation.Subsequently,Flexsim simulation is used to analyze the assembly line.The final results show that after optimization using the improved particle swarm algorithm,the assembly line balance rate increased from 71.1%to 85.9%,and the assembly line smoothing index decreased from 47.4 to 29.8,significantly enhancing assembly efficiency.This demonstrates the effectiveness of the proposed optimization method for the assembly line and provides a reference for other products in the same industry. 展开更多
关键词 Assembly line balance Improve PSO Simulation optimization
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Availability-based simulation and optimization modeling framework for open-pit mine truck allocation under dynamic constraints 认领 引用 被引量：11
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作者 Mena Rodrigo Zio Enrico +1 位作者 Kristjanpoller Fredy Arata Adolfo 《International Journal of Mining Science and Technology》 EI CAS 2013年第1期113-119,共7页
We present a novel system productivity simulation and optimization modeling framework in which equipment availability is a variable in the expected productivity function of the system. The framework is used for alloca... We present a novel system productivity simulation and optimization modeling framework in which equipment availability is a variable in the expected productivity function of the system. The framework is used for allocating trucks by route according to their operating performances in a truck-shovel system of an open-pit mine, so as to maximize the overall productivity of the fleet. We implement the framework in an originally designed and specifically developed simulator-optimizer software tool. We make an application on a real open-pit mine case study taking into account the stochasticity of the equipment behavior and environment. The total system production values obtained with and without considering the equipment reliability, availability and maintainability (RAM) characteristics are compared. We show that by taking into account the truck and shovel RAM aspects, we can maximize the total production of the system and obtain specific information on the production availability and productivity of its components. 展开更多
关键词 Simulation Optimization Reliability Productivity Open-pit Truck allocation
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Visual Dynamic Simulation and Optimization of Zhangjiuhe Diversion Project 认领 引用 被引量：1
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作者 钟登华 刘建民 +1 位作者 熊开智 付金强 《Transactions of Tianjin University》 EI CAS 2008年第3期186-192,共7页
With the aim of visualizing the real-time simulation calculation of water delivery system (WDS), a structural drawing-oriented (SDO) simulation technique was presented, and applied to Zhangjiuhe Diversion Project, whi... With the aim of visualizing the real-time simulation calculation of water delivery system (WDS), a structural drawing-oriented (SDO) simulation technique was presented, and applied to Zhangjiuhe Diversion Project, which is a long-distance water delivery system constructed for draw- ing water from the Zhangjiuhe River to Kunming city. Taking SIMULINK software as simulating plat-form, the technique established a visual dynamic simulation model for the system. The simulation procedure of the system was simplified,and the efficiency of modeling was also enhanced according to the modularization and reutilization of the simulation program. Furthermore, a self-optimization model was presented. Based on the digital simulation models, the on line controlled optimization link was added, and the input data can be continually optimized according to the feedback information of simulating output. The system was thus optimized automatically. Built upon MATLAB software, simulation optimization of the Zhangjiuhe Diversion Project was achieved, which provides a new way for the research of optimal operation of WDS. 展开更多
关键词 Zhangjiuhe Diversion Project structural drawing-oriented technique digital simulation simulation optimization visualization
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Stochastic systems simulation optimization 认领 引用
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作者 Chun-Hung CHEN Leyuan SHI Loo Hay LEE 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2011年第3期468-480,共13页
With the advance of new computational technology,stochastic systems simulation and optimization has become increasingly a popular subject in both academic research and industrial applications.This paper presents some ... With the advance of new computational technology,stochastic systems simulation and optimization has become increasingly a popular subject in both academic research and industrial applications.This paper presents some of recent developments about the problem of optimizing a performance function from a simulation model.We begin by classifying different types of problems and then provide an overview of the major approaches,followed by a more in-depth presentation of two specific areas:optimal computing budget allocation and the nested partitions method. 展开更多
关键词 simulation optimization discrete-event systems simulation-based decision making computing budget allocation ranking and selection
Design Considerations and Preliminary Verification of a Flying-fish-inspired Robot 认领 引用
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作者 Tao Zhang Lin Zhong +4 位作者 Xiongqian Wu Qianqian Chen Jiabin Liu Haifei Zhu Yisheng Guan 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第2期684-700,共17页
Many aquatic species exhibit the extraordinary ability to leap out of water,with flying-fish being a prime example,capable of gliding impressive distances through the air after breaching the surface.Inspired by this r... Many aquatic species exhibit the extraordinary ability to leap out of water,with flying-fish being a prime example,capable of gliding impressive distances through the air after breaching the surface.Inspired by this remarkable mode of locomotion,researchers have pursued innovative designs for amphibious robots capable of seamlessly traversing the water-air interface.In this study,we present the development of an untethered bioinspired flying-fish robot actuated by the reciprocating motion of its caudal fin.The robot features retractable and rotatable pectoral fins on both sides,allowing active pitch control during submerged swimming.To enhance propulsion performance,we developed a dynamic model that describes the coupled head-tail beating motion and conducted a numerical optimization of the beating angles using FLUENT simulation.The results indicate that increasing the tail beating angle substantially boosts thrust albeit at the cost of greater lateral force,whereas increasing the head beating angle slightly reduces thrust while exerting minimal influence on lateral force.An optimal configuration,consisting of a 15°head beating angle and a 35°tail beating angle,achieves a balance between high thrust and low lateral force.Under these parameters,the robot attains a simulated swimming speed of 1.3 m/s and a jumping height of 86.14 mm,sufficient to breach the water surface.Experimental validations demonstrated a maximum swimming speed of 1.12 m/s,a jumping height of 112 mm,and a peak thrust of 9.819 N at a maximum beating frequency of 12 Hz.The robot also exhibits high maneuverability,with a minimum turning radius of 35 mm.Comparative analysis of simulation and experimental results shows relative errors of 16.07%in speed,23.11%in jumping height,and 4.51%in thrust,with overall trends consistent between the two.These findings offer valuable insights for the design of next-generation amphibious robots capable of efficient water-to-air locomotion. 展开更多
关键词 Flying-fish-inspired robot Beating propulsion Mechatronic system design Fluid simulation optimization
Numerical simulation and optimization of the cylinder head water jacket based on the two-phase flow boiling heat transfer 认领 引用
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作者 程颖 王家武 《Journal of Beijing Institute of Technology》 EI CAS 2015年第3期328-334,共7页
Boiling heat transfer and the controllability of the thermal load of the cylinder head were studied.The thermodynamic phase change characteristics of the cylinder head coolant were considered and the mass,momentumand ... Boiling heat transfer and the controllability of the thermal load of the cylinder head were studied.The thermodynamic phase change characteristics of the cylinder head coolant were considered and the mass,momentumand energy transfers between two phases were calculated with the interface transfer submodels by using the computational fluid dynamics software CFX. Results showed that compared with the single-phase flow without considering the boiling heat transfer,the sub-cooled boiling heat transfer of the cylinder head was greatly increased. According to the results of the numerical simulation,an optimized structure of the water jacket was proposed. Finally,temperature and velocity of coolant,diameter of flow passage and mean bubble diameter that influences sub-cooled boiling were studied using the orthogonal experiment method. 展开更多
关键词 cylinder head sub-cooling boiling optimization orthogonal design simulation
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Simulation and Optimization of Fan System for Road Sweeper 认领 引用
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作者 ZHANG Hong-jun WANG Xue-fei LIU Ke-ke 《Journal of Highway and Transportation Research and Development(English Edition)》 2018年第4期92-97,共6页
A QC/T51-2006 standard country five-series road-sweeping vehicle is used as research object to improve the mechanization and work efficiency of a road sweeper and reduce the degree of environmental pollution.This stud... A QC/T51-2006 standard country five-series road-sweeping vehicle is used as research object to improve the mechanization and work efficiency of a road sweeper and reduce the degree of environmental pollution.This study examines the flow of the fluid in an air duct of the sweeper during the working process and identifies the limitations of the original fan structure design.The sweeping air duct and structure are of optimized design.In accordance with considerable analyses and research,fluid simulation of the original air duct was conducted using the finite element analysis software NX Nastran.A turbulence model is used to simulate the gas field inside the duct,ignoring the influence of temperature on the gas and wind pressure loss caused by a high-speed rotation of the fan.The entire duct was divided into two parts,namely,entrance and exhausted air ducts.In the model transfer process,the original assembly hole and welding plate were removed,and the unnecessary fillet and protruding structure were optimized.This approach was conducted to obtain the accurate value of wind speed in the suction port and outlet,which was compared with the starting velocity of dust particles and suspension speed.The flow field and streamline,velocity vector,and static pressure distribution of the original sweeper were obtained.Results show that through the data simulation analysis,the original sweater fan duct structure was optimized and its design was enhanced.This result increases the air duct speed by 50%.The fan power is reduced by 20 kW,thereby enhancing its efficiency.The energy saving is approximately 36.6%.The results provide data support and theoretical basis for the optimal design of the duct and structure.Furthermore,the results present theoretical and methodological support for the development of a new road sweeper. 展开更多
关键词 automobile engineering simulation and optimization NX Nastran fan sweeper
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Manufacturing Resource Planning Technology Based on Genetic Programming Simulationnn 认领 引用 被引量：3
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作者 GAO Shiwen LIAO Wenhe +2 位作者 GUO Yu LIU Jinshan SU Yan 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS 2009年第2期177-183,共7页
Network-based manufacturing is a kind of distributed system, which enables manufacturers to finish production tasks as well as to grasp the opportunities in the market, even if manufacturing resources are insufficient... Network-based manufacturing is a kind of distributed system, which enables manufacturers to finish production tasks as well as to grasp the opportunities in the market, even if manufacturing resources are insufficient. One of the main problems in network-based manufacturing is the allocation of resources and the assignment of tasks rationally, according to flexible resource distribution. The mapping rules and relations between production techniques and resources are proposed, followed by the definition of the resource unit. Ultimately, the genetic programming method for the optimization of the manufacturing system is put forward. A set of software for the optimization system of simulation process using genetic programming techniques has been developed, and the problems of manufacturing resource planning in network-based manufacturing are solved with the simulation of optimizing methods by genetic programming. The optimum proposal of hardware planning, selection of company and scheduling will be obtained in theory to help company managers in scientific decision-making. 展开更多
关键词 resource planning network-based manufacturing simulation optimization initial scheduling
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CFD-based optimization and design of multi-channel inorganic membrane tubes 认领 引用 被引量：7
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作者 Zhao Yang Jingcai Cheng +1 位作者 Chao Yang Bin Liang 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2016年第10期1375-1385,共11页
As a major configuration of membrane elements,multi-channel porous inorganic membrane tubes were studied by means of theoretical analysis and simulation.Configuration optimization of a cylindrical 37-channel porous in... As a major configuration of membrane elements,multi-channel porous inorganic membrane tubes were studied by means of theoretical analysis and simulation.Configuration optimization of a cylindrical 37-channel porous inorganic membrane tube was studied by increasing membrane filtration area and increasing permeation efficiency of inner channels.An optimal ratio of the channel diameter to the inter-channel distance was proposed so as to increase the total membrane filtration area of the membrane tube.The three-dimensional computational fluid dynamics(CFD) simulation was conducted to study the cross-flow permeation flow of pure water in the 37-channel ceramic membrane tube.A model combining Navier–Stokes equation with Darcy's law and the porous jump boundary conditions was applied.The relationship between permeation efficiency and channel locations,and the method for increasing the permeation efficiency of inner channels were proposed.Some novel multichannel membrane configurations with more permeate side channels were put forward and evaluated. 展开更多
关键词 Inorganic membrane Multi-channel tube Computational fluid dynamics （CFD）Simulation Optimization
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Multiphase Flow Simulation of New Vapor Distributor in Dividing Wall Column and Control Mechanism 认领 引用 被引量：1
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作者 Hu Yuqi Li Xiaoran Li Chunli 《China Petroleum Processing & Petrochemical Technology》 CAS 2020年第3期109-118,共10页
A new vapor distributor based on the Coanda effect is added to the Dividing Wall column(DWC),and the multiphase flow simulation is performed using ANSYS Fluent by this model.The results show that with the addition of ... A new vapor distributor based on the Coanda effect is added to the Dividing Wall column(DWC),and the multiphase flow simulation is performed using ANSYS Fluent by this model.The results show that with the addition of the liquid phase,the new vapor distributor still follows the Coanda effect.Hereby,the vapor is ejected from the slits of the distributor to take away the surrounding vapor,and a negative pressure is formed under the distributor,so as to achieve the purpose of regulating Rv.Analogously to the working principle of vapor distributor,a certain amount of vapor is drawn out from a position of prefractionator,which is equivalent to the vapor ejected by the distributor.The same amount of vapor is fed into the main column,which corresponds to the gas phase at the inlet of the distributor.The Rv is adjusted by changing the speed of the input or output vapor.Simulation results show that adding this control mechanism on the basis of temperature or concentration control structure can better achieve the effect of vapor distribution. 展开更多
关键词 Aspen Plus ANSYS fluent DWC simulation optimization control mechanism
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An Improved Whale Algorithm and Its Application in Truss Optimization 认领 引用 被引量：9
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作者 Fengguo Jiang Lutong Wang Lili Bai 《Journal of Bionic Engineering》 SCIE EI CSCD 2021年第3期721-732,共12页
The current Whale Optimization Algorithm(WOA)has several drawbacks,such as slow convergence,low solution accuracy and easy to fall into the local optimal solution.To overcome these drawbacks,an improved Whale Optimiza... The current Whale Optimization Algorithm(WOA)has several drawbacks,such as slow convergence,low solution accuracy and easy to fall into the local optimal solution.To overcome these drawbacks,an improved Whale Optimization Algorithm(IWOA)is proposed in this study.IWOA can enhance the global search capability by two measures.First,the crossover and mutation operations in Differential Evolutionary algorithm(DE)are combined with the whale optimization algorithm.Second,the cloud adaptive inertia weight is introduced in the position update phase of WOA to divide the population into two subgroups,so as to balance the global search ability and local development ability.ANSYS and Matlab are used to establish the structure model.To demonstrate the application of the IWOA,truss structural optimizations on 52-bar plane truss and 25-bar space truss were performed,and the results were are compared with that obtained by other optimization algorithm.It is verified that,compared with WOA,the IWOA has higher efficiency,fast convergence speed,better solution accuracy and stability.So IWOA can be used in the optimization design of large truss structures. 展开更多
关键词 improve whale optimization algorithm differential evolutionary algorithm cloud theory simulating optimization bionic algorithm
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