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Journal articles on the topic 'MATLAB optimization toolbox'

Author: Grafiati

Published: 5 June 2025

Last updated: 24 June 2025

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1

Meiers, Josef, and Georg Frey. "Interfacing TRNSYS with MATLAB for Building Energy System Optimization." Energies 18, no. 2 (2025): 255. https://doi.org/10.3390/en18020255.

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This contribution investigates whether the use of the MATLAB Optimization Toolbox on a parameter identification problem for a TRNSYS model provides better performance in iteration time. It presents the development of a framework connecting the MATLAB Optimization Toolbox with TRNSYS on the one hand and coordinating the optimization process of a TRNSYS model by GenOpt through MATLAB on the other hand. A benchmark framework in MATLAB was created to link TRNSYS and MATLAB and to configure the optimization process of GenOpt and the MATLAB Optimization Toolbox. Using this framework, a comprehensive comparison of the optimization solvers in GenOpt and the MATLAB Optimization Toolbox for the identification of the overall heat transfer coefficient of a TRNSYS heat exchanger model regarding the optimization time and number of iterations is presented as a use case. The results for the given problem show that GenOpt gives slightly better results in optimization time, whereas MATLAB has more potential and flexibility.

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2

Chen, Wei. "The Optimal Design of Electromagnetic Ball Valve with MATLAB Optimization Toolbox." Advanced Materials Research 510 (April 2012): 277–82. http://dx.doi.org/10.4028/www.scientific.net/amr.510.277.

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In this paper, the optimization model of ultra high electromagnetic ball valve is established, and using the MATLAB optimization toolbox for optimization calculation. Then the optimum results of relevant structural parameters are compared with C++ prepared random direction method. It shows that the optimal design model of electromagnetic ball valve is correct. So we can draw a conclusion that using MATLAB optimization toolbox to optimum design is feasibility in the hydraulic component design through an engineering example of ultra high electromagnetic ball valve. The optimization results show that the optimization design based on MATLAB optimization toolbox has high precision, the program is simple, the calculation is fast, and the optimal solutions have a high accuracy and reliability.

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Wang, Xiao Lei, Tai Yuan Yin, Jin Tao Chen, Jian Xun Liang, and Yang Li. "Rapid Design of DC Motor Speed Control System Based on MATLAB." Applied Mechanics and Materials 743 (March 2015): 168–71. http://dx.doi.org/10.4028/www.scientific.net/amm.743.168.

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DC motor speed control system is a typical closed-loop control system ofelectromechanical control subject. This paper presents a fast and efficient developing method ofcontrol system based on MATLAB, overcoming the shortcomings of the low efficiency and longdesign cycle in the traditional control system, and completing the rapid design of DC motor speedcontrol system, with its whole process based on MATLAB through the combination and applicationof the multiple toolboxes of the MATLAB. It applies the System Identification toolbox ofMATLAB to model the DC motor, the Simulink toolbox to simulate the control system, SimulinkDesign Optimization toolbox to optimize the PID parameters automatically, and the RTWtechnology to generate the codes for the DSP target board. Compared with the traditional designmethod, this method is characterized by high-efficiency, high-speed, and easy adjustment, havingcertain significance to the design of other control systems.

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4

Heller, Jan, and Tomas Pajdla. "GpoSolver: a Matlab/C++ toolbox for global polynomial optimization." Optimization Methods and Software 31, no. 2 (2016): 405–34. http://dx.doi.org/10.1080/10556788.2015.1121489.

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Guo, Yan Hua, Fei Fei Liu, Ning Zhang, and Tao Wang. "Joint Optimization Combining Genetic Algorithm and Numerical Algorithm Based on MATLAB." Advanced Materials Research 1065-1069 (December 2014): 3442–45. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.3442.

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The mathematic model of a two-bar truss is built in MATLAB and the analysis is carried out by the genetic algorithm toolbox. The parametric model of the planar truss is established by the ANSYS Parametric Design Language. Solutions are obtained using the first-order method native. Genetic algorithms don’t always display better properties than others. Finally, a joint optimization method is proposed, which combines MATLAB genetic algorithm toolbox and the numerical algorithm based on the quasi-Newton method. The method is identified through the numerical example of the two-bar truss. The results indicate the joint optimization method can always converge to the global optimal solution.

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Lan, Fei, Kai Liu, and Chao Feng Ma. "Optimization Design of MW-Class Wind Turbine Gear Transmission System Based on MATLAB and SQP Algorithm." Advanced Materials Research 422 (December 2011): 811–17. http://dx.doi.org/10.4028/www.scientific.net/amr.422.811.

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This paper introduces the principle of the SQP algorithm and how to realize in MATLAB optimization toolbox. With mega watt wind turbine gear transmission system as the research object, the selection of the appropriate design variables and constraints, as the volume of transmission system is the smallest and part of the gear rotational inertia minimum for target function, and set up the optimization mathematical model. Use the MATLAB optimization toolbox to optimize, and then calculate and analysis the example. The results show that before and after the optimization of the system, the volume and the rotational inertia of the gear are significantly reduced. This paper will supply some references for the wind power gear transmission system design.

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Shang, Wei Yan, and Fa Ju Qiu. "Design and Optimization of the Hydraulic Incline Drawing Lifting Mechanism." Applied Mechanics and Materials 109 (October 2011): 340–44. http://dx.doi.org/10.4028/www.scientific.net/amm.109.340.

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A new lifting-unloading machine of domestic waste was proposed, and the equipment’s working principle was introduced. Mathematics model of optimization design was established. Instead of using traditional programming method, the configuration was optimized by using MATLAB and the Optimization Toolbox offered by MATLAB. The cost of this equipment was reduced and the quality of stabilization was improved.

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Wang, Yong Yan, Jia Bin Shi, Fei Fei Zhang, Hong Li Lu, and Fei Xu. "Optimization of Vibrating Parameters for Large Linear Vibrating Screen." Advanced Materials Research 490-495 (March 2012): 2804–8. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.2804.

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This thesis aims at the maximal productivity per unit power for linear vibrating screen. By means of MATLAB optimization technology, the optimal mathematical model of linear vibrating screen is established.On the basis of the actual design parameters for the 27m2 linear vibrating screen, the optimization of vibrating parameters for vibrating screen is solved by MATLAB Optimization Toolbox. According to the result of optimization design compared with ordinary design, the optimization method is proved to be consistent and reliable.

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Dulger, Lale Canan, Huseyin Erdogan, and Mehmet Erkan Kutuk. "Matlab�s GA and Optimization Toolbox: A Fourbar Mechanism Application." International Journal of Intelligent Systems and Applications in Engineering 2, no. 1 (2014): 10. http://dx.doi.org/10.18201/ijisae.40943.

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10

Qi, Bin, Su Jun Dong, and Jun Wang. "Optimization of Loss Models for Centrifugal Compressor Performance Prediction Based on Numerical Analysis Results." Applied Mechanics and Materials 300-301 (February 2013): 225–31. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.225.

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An optimization of loss models for performance prediction of centrifugal compressors has been conducted in this paper. A centrifugal compressor with vaneless diffuser (VLD) and vaned diffuser (VD) is selected for the present study. The study begins with a numerical analysis, using commercial software ANSYS CFX. The numerical result is used to modify mean streamline analysis loss models. Matlab optimization toolbox is used for this purpose. Also, a matlab program is compiled to calculate the off-design performance of the centrifugal compressor. The results show that after optimizating the loss models, mean streamline analysis has a better accuracy than before.

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Qu, Er Guang, and Hui Peng Zhang. "Optimization Design and Motion Simulation of Offset Slider-Crank Mechanism." Advanced Materials Research 403-408 (November 2011): 4216–20. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4216.

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On the basis of optimization-based design goals, design variables, constraints, the Offset slider-crank mechanism mathematical model of optimization is established, its parameters are designed by MATLAB Optimization Toolbox and achieve the best. The closed-loop vector equation of the Offset slider-crank mechanism is established based on the vector method, using MATALB/Simulink for simulation of kinematics to get the slider's motion curve. The method improves the efficiency and quality of design and motion analysis, the result shows that the method is efficient and useful in the design and kinematics analysis of mechanism.

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Wang, Jun, Wen Yan, and Xue Gui. "Application of Matlab Optimization Tool Box on Sections of Prestressed Steel-Concrete Composite Box Girder." Advanced Materials Research 366 (October 2011): 177–80. http://dx.doi.org/10.4028/www.scientific.net/amr.366.177.

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The constrained optimization is one kind of mathematics programming, which was widely adopted in the engineering. The efficiency optimization was achieved in the Using MATLAB optimization toolbox .Numerical result illustrated that the optimization mathematical model of optimization was exact and the algorithm effective. The method can be mastered by the engineers and widely used in the engineering design .

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Babchinetsky, Sergey Gennadievich, Oleg Vyacheslavovich Gasta, and Roman Stanislavovich Zenin. "OPTIMIZATION OF WAREHOUSE LOGISTICS WITH FUZZY LOGIC TOOLBOX." Chronos 7, no. 6(68) (2022): 24–28. http://dx.doi.org/10.52013/2658-7556-68-6-8.

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The article discusses the creation of a mathematical model for the analysis and processing of optimization algorithms based on fuzzy logic in the Matlab environment. Various ways of optimizing warehouse logistics have been made, due to the design of the warehouse and increasing the productivity of hardware and software, as well as key performance indicators of personnel.

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14

Li, Zhi Yuan, Chun Zhang, and Tao Ji. "Optimization Design of Controlling Differential Continuously Variable Transmission Based on MATLAB." Applied Mechanics and Materials 148-149 (December 2011): 1454–57. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.1454.

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For the current- controlled differential continuously variable transmission design complex, with the whole device for the smallest optimization design goal, the optimum model of the controlling differential stepless speed variator was established. It also introduced a optimization design of the transmission by using the MATLAB optimization toolbox, and the result was that the volume of the equipment was less than the initial value after the optimum design. This study method of effective design for the same type transmission design was provided.

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15

Engelmann, Alexander, Yuning Jiang, Henrieke Benner, Ruchuan Ou, Boris Houska, and Timm Faulwasser. "ALADIN‐—An open‐source MATLAB toolbox for distributed non‐convex optimization." Optimal Control Applications and Methods 43, no. 1 (2021): 4–22. http://dx.doi.org/10.1002/oca.2811.

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16

Sturm, Jos F. "Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones." Optimization Methods and Software 11, no. 1-4 (1999): 625–53. http://dx.doi.org/10.1080/10556789908805766.

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17

Guo, Cui Xia, and Hong Zhi Zhang. "Optimization of Integral Steering Trapezoid of Commercial Vehicle Based on MATLAB." Applied Mechanics and Materials 635-637 (September 2014): 299–302. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.299.

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The good integrated steering trapezoid of the commercial vehicle can reduce the running resistance, making the steering portability, and reduce tire wear. According to the Ackerman principle, establish the outer wheel theory and practice angle deviation minimum, which is as objective optimization mathematical model. Optimizing two important parameters of the steering trapezoid arm value and the steering trapezoid arrangement angle by the optimization toolbox of MATLAB. After optimization, the value of the actual the inner wheel angle deviation between the theoretical is smaller, so the steering characteristic has been significantly improved.

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18

Caramia, R., R. Piotuch, and R. Pałka. "Multiobjective FEM based optimization of BLDC motor using Matlab and Maxwell scripting capabilities." Archives of Electrical Engineering 63, no. 1 (2014): 115–24. http://dx.doi.org/10.2478/aee-2014-0009.

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Abstract The paper presents a methodology for the optimization of a Brushless Direct Current motor (BLDC). In particular it is focused on multiobjective optimization using a genetic algorithm (GA) developed in Matlab/Optimization Toolbox coupled with Maxwell from ANSYS. Optimization process was divided into two steps. The aim of the first one was to maximize the RMS torque value and to minimize the mass. The second part of the optimization process was to minimize the cogging torque by selecting proper magnet angle. The paper presents the methodology and capabilities of scripting methods rather than specific optimization results for the applied geometry

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19

Xu, Zi Bin, and Jian Qing Min. "Sequential Quadratic Programming Design of Gear Transmission." Applied Mechanics and Materials 437 (October 2013): 481–84. http://dx.doi.org/10.4028/www.scientific.net/amm.437.481.

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The optimization design of gear transmission based on MATLAB is studied for the purpose of finding a convenient and practical method. A mathematical model of optimization design is established in order to minimize the volume of gear transmission, the sequential quadratic programming method (SQP) is used to solve the nonlinear constrained optimization problems. The method how to solve gear parameter optimization base on optimization toolbox of MATLAB is introduced in detail. An optimization design example is given, the optimization result accords with the standard specifications of mechanical design and can be directly used. The result shows that this method is convenient and effective, and can simplify computer programming, is especially suitable for engineer.

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20

Zhu, Zeng Bao, Ru Peng Zhu, and He Yun Bao. "Three Hierarchical Optimization Design for Power Distributional Planet Gear Drive Based on Matlab." Key Engineering Materials 431-432 (March 2010): 454–57. http://dx.doi.org/10.4028/www.scientific.net/kem.431-432.454.

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According to the theory of planet gear drive and the actual design requirements of ship reducer, the mathematical model of optimization for power distributional planet gear drive is set up, the optimization design variables, the optimization objective function and the restraint conditions are definited. On the base of the establishment of three hierarchical optimization method, to take advantage of its powerful optimization toolbox in Matlab, combine the basic algorithm of optimization design, optimize respectively power distributional planet gear drive from three single-objective optimization for the lightest weight, the smallest center distance, most efficient and from one multi-objective optimization of the lightest weight and smallest center distance. The optimal results showed that ship reducer weight could be further reduced.

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21

Xie, Xian Song, Dong Jin Yan, and Yue Zhai Zheng. "Optimization Design of High-Performance Concrete Based on Genetic Algorithm Toolbox of Matlab." Advanced Materials Research 250-253 (May 2011): 2672–77. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2672.

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Genetic algorithm is a non-numerical optimization method which based on natural selection and population genetics.Using genetic algorithm to optimize the mix proportion design of high performance concrete, it takes into account the economic profitability on the foundation of satisfying the requirements of durability, strength, workability and dimensional stability of concrete, it establishes a mathematic model applying the performance of material as constraint condition, and the economic cost as optimization target.Using binary coding to represent the chromosome bit serial of individual, through selection, crossover, mutation and other genetic operator to conduct global probability search, taking the principle of “survival of the fittest”, finally achieve the best population and individual. Compare the results of optimization with the mix proportion in practice engineering case, we can reach the conclusion that Genetic Algorithm could reduce the cost, save energy, provides better use value on engineering practice.

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22

Elhesasy, Mohamed, Tarek N. Dief, Mohammed Atallah, et al. "Non-Linear Model Predictive Control Using CasADi Package for Trajectory Tracking of Quadrotor." Energies 16, no. 5 (2023): 2143. http://dx.doi.org/10.3390/en16052143.

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In this paper, we present the development of a non-linear model predictive controller for the trajectory tracking of a quadrotor using the CasADi optimization framework. The non-linear dynamic model of the quadrotor was derived using Newton–Euler equations, and the control algorithm and drone dynamics were wrapped in Matlab. The proposed controller was tested by simulating the tracking of a 3D helical reference trajectory, and its efficiency was evaluated in terms of numerical performance and tracking accuracy. The results showed that the proposed controller leads to faster computational times, approximately 20 times faster than the Matlab toolbox (nlmpc), and provides better tracking accuracy than both the Matlab toolbox and classical PID controller. The robustness of the proposed control algorithm was also tested and verified under model uncertainties and external disturbances, demonstrating its ability to effectively eliminate tracking errors.

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23

Jing, Li-Bing, Zheng-Hao Luo, Lin Liu, and Qi-Xing Gao. "Optimization Design of Magnetic Gear Based on Genetic Algorithm Toolbox of Matlab." Journal of Electrical Engineering and Technology 11, no. 5 (2016): 1202–9. http://dx.doi.org/10.5370/jeet.2016.11.5.1202.

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Wang, Quan Wei, Ming Hui Wang, Dong Li, Dian Mao Wan, and Rong Meng. "Optimization Analysis of the Wedge Block Surface of NYD Contact Backstop." Applied Mechanics and Materials 433-435 (October 2013): 2277–81. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.2277.

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By analyzing the relationship of the design parameters of NYD contact backstop, the cross-section curve of the wedge block has been discussed as Archimedes spiral, logarithm spiral and arc. Each curve is designed optimally using MATLAB optimization toolbox. The merits and drawbacks of each curve are discussed.

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Abdulameer, Abbas Fakhri, and Mohammed Musadaq Jaafar. "Optimization of Load Frequency Controller by using Genetic Algorithm." International Journal of Computer Science and Mobile Computing 11, no. 11 (2022): 31–34. http://dx.doi.org/10.47760/ijcsmc.2022.v11i11.004.

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In this proposal method, the system will be optimized by using genetic algorithm GA with PID controller. The load frequency controller LFC had drawback likes overshoot, and undershoot with high oscillation. Hence, the hybrid algorithm between GA and PID are applied to enhance the system by matlab Simulink with toolbox. The simulation results showed that the system more efficient.

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Tang, Qi Jing, and Tie Shi Zhao. "Genetic Algorithm Optimization of a Double Four-Bar Manipulator." Advanced Materials Research 834-836 (October 2013): 1323–26. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1323.

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In order to optimize the dimension of a manipulator, the optimization requirements are analyzed. Then the mathematical model and optimization objectives are established. Next, the lengths of the manipulator are optimized by Matlab genetic algorithm optimization toolbox. The structural strength and bearing installation space are considered at the same time. The trajectory and transmission angle are compared. Finally, the lengths which meet the use requirements are obtained. This optimization method provides a reference for similar mechanism.

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Kütük, M. Erkan, and L. Canan Dülger. "Hybrid Seven-bar Press Mechanism." Tehnički glasnik 12, no. 3 (2018): 181–87. http://dx.doi.org/10.31803/tg-20180203202102.

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An optimization study with kinetostatic analysis is performed on hybrid seven-bar press mechanism. This study is based on previous studies performed on planar hybrid seven-bar linkage. Dimensional synthesis is performed, and optimum link lengths for the mechanism are found. Optimization study is performed by using genetic algorithm (GA). Genetic Algorithm Toolbox is used with Optimization Toolbox in MATLAB®. The design variables and the constraints are used during design optimization. The objective function is determined and eight precision points are used. A seven-bar linkage system with two degrees of freedom is chosen as an example. Metal stamping operation with a dwell is taken as the case study. Having completed optimization, the kinetostatic analysis is performed. All forces on the links and the crank torques are calculated on the hybrid system with the optimized link lengths

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28

Thander, Anup Kumar, and Dwaipayan Bhowmik. "A Comprehensive Study of MATLAB Optimization Toolbox Solvers for Nonlinear Constraints and Objective Functions." BOHR International Journal of Smart Computing and Information Technology 6, no. 1 (2025): 12–17. https://doi.org/10.54646/bijscit.2025.47.

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In this paper, four different solvers available in the optimization toolbox of MATLAB for nonlinear constraints and objective functions have been discussed. Among these solvers, numerical comparisons have been made using CPUTIME as the parameter. The MATLAB solvers described in this study have been applied to obtain the global optimum values of Rosenbrock’s banana functions in multi-dimensions. Additionally, graphical analysis is provided for a visual illustration of the convergence of the optimal solution of Rosenbrock’s function.

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29

Reimer, J., M. Schürch, and T. Slawig. "Optimization of experimental designs and model parameters exemplified by sedimentation in salt marshes." Geoscientific Model Development Discussions 7, no. 5 (2014): 6439–87. http://dx.doi.org/10.5194/gmdd-7-6439-2014.

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Abstract. The weighted least squares estimator for model parameters was presented together with its asymptotic properties. A popular approach to optimize experimental designs called local optimal experimental designs was described together with a lesser known approach which takes into account a potential nonlinearity of the model parameters. These two approaches were combined with two different methods to solve their underlying discrete optimization problem. All presented methods were implemented in an open source MATLAB toolbox called the Optimal Experimental Design Toolbox whose structure and handling was described. In numerical experiments, the model parameters and experimental design were optimized using this toolbox. Two models for sediment concentration in seawater of different complexity served as application example. The advantages and disadvantages of the different approaches were compared, and an evaluation of the approaches was performed.

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Zhang, Gang, Xue Zhang, Kai Feng Zhou, et al. "Optimization Design of Large-Scale Cross-Roller Slewing Bearing Used in Special Propeller." Applied Mechanics and Materials 48-49 (February 2011): 787–92. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.787.

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According to the working requirement of large-scale cross roller slewing bearing used in special propeller, an optimal design model which includes objective function, optimization variables and constraints is established, and uses genetic toolbox of the Matlab software to solve the mathematical model. An example shows that the bearing’s life is improved significantly by the optimization. It indicates that the optimization design has some guidance significance in the design process of the slewing bearing.

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Zhang, Xiao Hong, Han Zhang, and Jian Zhang. "Reactive Power Optimization in Regional Power Grid." Applied Mechanics and Materials 380-384 (August 2013): 3254–57. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3254.

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The paper analyzes reactive power optimization of regional power grid, and it establishes the mathematical model of power system reactive power optimization, taking minimizing annual operating cost as an object function, at the same time, considering the power factors and constraints of load bus voltage amplitude. It uses the MATLAB optimization toolbox quadratic function to optimize compute, and applies it to the reactive power optimization in actual regional power grid. Results show that the proposed mathematical model and algorithm are effective and practical.

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Li, R. N., X. Liu, and S. J. Liu. "Optimization design of wind turbine drive train based on Matlab genetic algorithm toolbox." IOP Conference Series: Materials Science and Engineering 52, no. 5 (2013): 052013. http://dx.doi.org/10.1088/1757-899x/52/5/052013.

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Beck, Amir, and Nili Guttmann-Beck. "FOM – a MATLAB toolbox of first-order methods for solving convex optimization problems." Optimization Methods and Software 34, no. 1 (2018): 172–93. http://dx.doi.org/10.1080/10556788.2018.1437159.

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Li, Peng, and Dalin Wu. "Research on small muzzle brake design and optimization." Journal of Physics: Conference Series 2369, no. 1 (2022): 012008. http://dx.doi.org/10.1088/1742-6596/2369/1/012008.

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In order to improve the efficiency of the small muzzle brake used in the anti-material rifle, the calculation model of the efficiency of the muzzle brake is established, and the main structural parameters of the small muzzle brake are optimized by using the MATLAB optimization toolbox. After optimization, the efficiency of the muzzle brake is improved by 38%. The test results show that the improved small muzzle brake can meet the requirements of anti-material rifle.

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Yu, Ying Hua, Guo Jun Yu, and Chun Hong Yang. "The Optimization of Aluminum Foam Compound Board Structure Based on Machine Acoustic Enclosure." Advanced Materials Research 146-147 (October 2010): 123–26. http://dx.doi.org/10.4028/www.scientific.net/amr.146-147.123.

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According to the structure of functional properties of aluminum foam, made machine noise enclosures with aluminum foam/steel composite panels was proposed. The mathematical model of sound energy transmission coefficient of aluminum foam/steel composite panel was established. Optimization the model through the MATLAB optimization toolbox gets the thickness and density of foamed aluminum on the best acoustic effects. It provides a reference for the design and manufacture of the lathe acoustical enclosure plate.

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Zhao, Lin Dong, and Sheng Jing Tang. "Design and Optimization of Missile Three-Loop Autopilot Based on Performance Indicators." Applied Mechanics and Materials 203 (October 2012): 36–40. http://dx.doi.org/10.4028/www.scientific.net/amm.203.36.

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A classic design method in frequency domain was used in preliminary design of three-loop autopilot. The preliminary design results derived out the bounds and initial values of optimization variables. Based on the system performance indicators, an optimization model was proposed including the use of weight factors and typical values of performance indicators. The optimization design was realized and verified with the use of genetic algorithm (GA) built in Matlab Optimization Toolbox. The design instance shows that the optimization model and strategy have a good effect and could meet the optimization needs when different performance focuses are desired.

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Shi, Zhi Gang, and Zhuo Li. "Thermoeconomic Optimization of a Seawater Source Heat Pump System for Residential Buildings." Advanced Materials Research 354-355 (October 2011): 794–97. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.794.

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A seawater source heat pump (SWHP) system offer an attractive option for heating and cooling residential and commercial buildings owing to their higher energy efficiency compared with conventional systems. A thermoeconomic model was developed for analysis and optimization of SWHP with residential building. The thermodynamic and thermoeconomic optimum result for SWHP in the Qingdao, china, weather conditions were obtained using MATLAB optimization toolbox. The thermoeconomic optimization results show exergy loss and EER increasing by 22.7% and 13.9% respectively, but annual production costs reduce by 29.1%.

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Zhang, Jie, and Hui Peng Zhang. "Optimization Design of the Two-Stage Helical Cylindrical Gear Reducer Based on MATLAB." Advanced Materials Research 452-453 (January 2012): 1174–78. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.1174.

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Traditionally, in order to get satisfied design data of reducer, you must cut and try again and again. Although this design data can satisfy conditions given, it is not optimal. In this paper, after establishment of target function, choice of parameters and confirmation of constraint conditions of the two-stage helical cylindrical gear reducer are systematically studied, its optimum mathematical model is set up. The reducer is designed by MATLAB Optimization Toolbox; it simplifies the computer programs and enhances the design efficiency and quality.

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Jarchelou, Samaneh Mohammadi, Kianoush Fathi Vajargah, and Parvin Azhdari. "Optimizing Stock Portfolio Using the Particle Swarm Optimization Algorithm and Assessing PSO and Other Algorithms." International Journal of Applied Metaheuristic Computing 15, no. 1 (2024): 1–13. https://doi.org/10.4018/ijamc.362001.

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When it comes to making financial decisions, choosing stocks is crucial to building a successful portfolio. Stocks are evaluated according to lower risk, and the best stocks are chosen to produce assets that are then utilized to construct the portfolio. In this study, we have compared the integrated particle swarm method to four other algorithms for stock selection and optimization: the genetic algorithm, the Pareto search algorithm, the pattern search algorithm, and quadratic programming in the Matlab toolbox. Six particular stock firms are taken into consideration for this reason during a given time period. First, we will use the aforementioned Matlab toolbox techniques to conduct Markowitz's mean variance model. Additionally, the usual embedded particle swarm methodology and the penalty function approach will be used to create this model. The difference between the averages at ten distinct levels of predicted values will be examined in the next research based on the returns in the chosen portfolios. Statistical tests will be employed to differentiate noteworthy distinctions between the suggested approach and the alternative algorithms. MSC: 65K10,91B05.

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Bao, Wei Cheng, Hong Chen, and Chun Lei Yang. "Sequential Engagement and Disengagement Drive Mechanism Instruction Device Design of Offset Press." Applied Mechanics and Materials 329 (June 2013): 264–68. http://dx.doi.org/10.4028/www.scientific.net/amm.329.264.

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According to the process characteristics of sequential engagement and disengagement mechanism of offset press, a teaching device of sequential engagement and disengagement mechanism with double cylinders double stroke drive mechanisms was designed. By means of simplifying the mechanism and using complex polar coordinates vector method, the mathematical modeling of the mechanism was built. The related parameter curve of the mechanism was drawn with MATLAB software. And through MATLAB optimization toolbox, the optimized design of the mechanism was carried on, the sequential engagement and disengagement drive mechanism teaching device design of offset press was improved.

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Hong, Lin, and Xiao Juan Li. "Structural Optimization of a Chain Transmission with Constraints." Applied Mechanics and Materials 687-691 (November 2014): 523–26. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.523.

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Polygon effect is the inherent characteristics of chain drive system, and also the main factor which restricts the transmission performance of the system. In this article a structure related to a slide constraint chain drive is presented and optimized by means of MATLAB optimization toolbox. Based on polygon effect analysis, a compensation method is proposed and verified by trajectory simulation. Simulation results show that the compensation method can effectively reduce the polygon effect of chain drive and improve the transmission performance of the chain drive system.

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Zhou, Qing, Xin Tao Xia, and Ya Ping Zhang. "Optimal Design of Mainshaft Bearing for Wind Turbine." Advanced Materials Research 171-172 (December 2010): 252–55. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.252.

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Working conditions, characteristics, and development about the mainshaft bearing for wind turbines are investigated and mathematical model based on the rated dynamic load is proposed in this paper. With the help of the nonlinearly minimum function, viz., fmincon, in MATLAB toolbox, the constrained optimization method for the main parameters of the bearing is studied in order to improve the bearing life.

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Dragomir, Raluca, Paul Rosca, and Cristina Popa. "Five-Lump Kinetic Model for the Catalytic Cracking Process\." Revista de Chimie 69, no. 10 (2018): 2633–37. http://dx.doi.org/10.37358/rc.18.10.6595.

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The main objectives of the present paper are to adaptation the five-kinetic model of the catalytic cracking process and simulation the riser to predicts the FCC products yields when one of the major input variable of the process is change. The simulation and adaptation are based on the industrial data from Romanian refinery. The adaptation is realize using a computational method from Optimization Toolbox from Matlab programming language. The new model can be used for optimization and control of FCC riser.

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Mishra, Sunil Kumar, and Dinesh Chandra. "Stabilization of Inverted Cart-Pendulum System Using Controller: A Frequency-Domain Approach." Chinese Journal of Engineering 2013 (October 1, 2013): 1–7. http://dx.doi.org/10.1155/2013/962401.

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This paper focuses on the angular stabilization of inverted cart-pendulum system using controller. The tuning of controller is formulated as a nonlinear optimization problem, in which the objective function is composed of five design conditions in frequency domain. Particle swarm optimization technique has been used for optimizing parameters. Also a PID controller has been designed based on same specifications, and a comparative study has been carried out. All the responses have been calculated using FOMCON toolbox of Matlab/Simulink.

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Scarpiniti, Michele, Enzo Baccarelli, and Alireza Momenzadeh. "VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms." Applied Sciences 9, no. 6 (2019): 1160. http://dx.doi.org/10.3390/app9061160.

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It is expected that the pervasive deployment of multi-tier 5G-supported Mobile-Fog-Cloudtechnological computing platforms will constitute an effective means to support the real-time execution of future Internet applications by resource- and energy-limited mobile devices. Increasing interest in this emerging networking-computing technology demands the optimization and performance evaluation of several parts of the underlying infrastructures. However, field trials are challenging due to their operational costs, and in every case, the obtained results could be difficult to repeat and customize. These emerging Mobile-Fog-Cloud ecosystems still lack, indeed, customizable software tools for the performance simulation of their computing-networking building blocks. Motivated by these considerations, in this contribution, we present VirtFogSim. It is a MATLAB-supported software toolbox that allows the dynamic joint optimization and tracking of the energy and delay performance of Mobile-Fog-Cloud systems for the execution of applications described by general Directed Application Graphs (DAGs). In a nutshell, the main peculiar features of the proposed VirtFogSim toolbox are that: (i) it allows the joint dynamic energy-aware optimization of the placement of the application tasks and the allocation of the needed computing-networking resources under hard constraints on acceptable overall execution times; (ii) it allows the repeatable and customizable simulation of the resulting energy-delay performance of the overall system; (iii) it allows the dynamic tracking of the performed resource allocation under time-varying operational environments, as those typically featuring mobile applications; (iv) it is equipped with a user-friendly Graphic User Interface (GUI) that supports a number of graphic formats for data rendering; and (v) its MATLAB code is optimized for running atop multi-core parallel execution platforms. To check both the actual optimization and scalability capabilities of the VirtFogSim toolbox, a number of experimental setups featuring different use cases and operational environments are simulated, and their performances are compared.

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Astapenko, N. V. "Analysis of the impact of genetic algorithm parameters on optimization efficiency in MATLAB." Vestnik of M. Kozybayev North Kazakhstan University, no. 1 (65) (March 7, 2025): 207–14. https://doi.org/10.54596/2958-0048-2025-1-207-214.

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This paper presents an analysis of the impact of genetic algorithm (GA) parameters on the efficiency of optimizing complex nonlinear functions using the MATLAB Optimization Toolbox. The study focuses on the Rastrigin function, known for its complex structure and multiple local minima. Key GA parameters, including population size, mutation and crossover probabilities, and stopping conditions, are considered. Experimental results demonstrate that proper parameter tuning significantly enhances the algorithm's ability to find the global minimum while reducing the likelihood of premature convergence. The findings highlight the importance of adapting GA parameters to specific optimization tasks and demonstrate the potential of GA applications in engineering and scientific domains. Limitations of the method are discussed, and future research directions, including the development of hybrid approaches, are proposed.

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Shang, Xin, and Xin-Cheng Liu. "Analysis method of dynamics and structure optimization for sealing mechanism under reducing vibration condition." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 233, no. 2 (2018): 348–62. http://dx.doi.org/10.1177/1464419318759157.

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The paper highlights the importance of optimal design model in the design evaluation of complex sealing mechanism. Sealing mechanism of the high-speed assembly machine is taken as the research object and construct rigid-flexible coupling dynamic equation. Dynamic characteristics of the sealing mechanism are analyzed by MATLAB. The maximum dynamic stress and reducing the acceleration of the end F are regarded as the optimization object. Cam profile curve parameter and the link cross section parameter are designed as the variables to construct the optimization design model of the whole sealing mechanism, and nonlinear constraint problem is transformed into a linear constraint problem. Based on the MATLAB genetic algorithm toolbox, the optimal design model of the sealing mechanism is solved, and the optimal result is obtained.

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Liu, Ze Peng, Gang Zhu, Jie Li, and Shan Hu Yu. "Optimization of the FSAE Car Steering Trapezoid." Advanced Materials Research 591-593 (November 2012): 196–200. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.196.

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Steering system is important to the FSAE vehicle performance. And it’s necessary to optimize the steering trapezoid as well. According to the mentioned problem, the steering trapezoid is designed for the special circumstances of the track in this article. the steering mathematical model is established and optimized using the least squares method in the MATLAB Optimization Toolbox to improve the steering stability of the car. After manufacturing and testing the FSAE car prototype, the experimental and optimal results are compared, which indicates that the design of the steering trapezoid mechanism reduce tire wear and protect good steering and grip performance.

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Ha, Sara, and Simona Onori. "COBRAPRO: A MATLAB toolbox for Physics-based Battery Modeling and Co-simulation Parameter Optimization." Journal of Open Source Software 10, no. 105 (2025): 6803. https://doi.org/10.21105/joss.06803.

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Qin, Huan, Zijian Liu, Yu Liu, and Haolong Zhong. "An object-oriented MATLAB toolbox for automotive body conceptual design using distributed parallel optimization." Advances in Engineering Software 106 (April 2017): 19–32. http://dx.doi.org/10.1016/j.advengsoft.2017.01.003.

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