Relevant bibliographies by topics / MATLAB optimization toolbox

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'MATLAB optimization toolbox'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'MATLAB optimization toolbox.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "MATLAB optimization toolbox"

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
6

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
8

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
9

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "MATLAB optimization toolbox"

1

Leithe, Maren Åshild. "Introducing a MATLAB Toolbox for F-Lipschitz Optimization." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13238.

Full text
Abstract:
The theory of mathematical optimization is useful within a wide range of disciplines such as science, engineering, economics and industry. Application areas have been growing steadily, driving forward the development of new effective methods. Inspired by the need for fast computational schemes in wireless sensor networks, a new optimization theory, called Fast Lipschitz, has emerged to provide effective algorithms both for distributed and centralized computations. An important property of these algorithms is that a globally optimal solution is always guranteed. In this master thesis project, a new MATLAB toolbox is developed to check wether an optimization problem is F-Lipschitz and to solve it efficiently. The difficulty is posed in verifying that a given problem is in fact F-Lipschitz. However, it is shown that under certain circumstances, this operation has a computational complexity of O(n^2) for a problem with n decision variables. The toolbox provides both a graphical interface as well as inline functions. A user guide is presented, explaining the functionalities by discussions and illustrations of example problems. Among others, a convex optimization problem of distributed detection is considered, as well as a non-convex radio power allocation problem. The novel toolbox presented in this thesis may be of considerable utility in solving optimization problems and studying their characteristics.
APA, Harvard, Vancouver, ISO, and other styles
2

Leithe, Maren. "Introducing a MATLAB Toolbox for F-Lipschitz Optimization." Thesis, KTH, Reglerteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-55911.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Mijatovic, Aaron. "Solving optimal power flow with voltage constraints using MATLAB optimization toolbox." Thesis, Mijatovic, Aaron (2013) Solving optimal power flow with voltage constraints using MATLAB optimization toolbox. Other thesis, Murdoch University, 2013. https://researchrepository.murdoch.edu.au/id/eprint/21660/.

Full text
Abstract:
This thesis set out to build a program in MATLAB that is designed to find an optimal power flow system on that minimizes the cost of generation while satisfying prescribed voltage constraints. Current optimal power flow solutions generally have three main issues with optimal power flow and this is the direction of most research in the area. The first issue is that the systems are not able to robustly provide a solution to the given information and are unable to find a stable solution. The second issue is that the optimal power flow may only find a local minimum solution rather than a global minimum due to the nature of the optimization routines. The third and final issue is that the solve time needs to be kept to a minimum to ensure usability in real world systems. The system was built in MATLAB using the Optimization Toolbox, and specifically the fmincon function. The system accepted some basic input variables including a formatted numerical description of the power network, and then performed some calculations to prepare the system for solving. The system was then solved according to Economic Dispatch which determined that the sum of generation should equal the sum of the load. Losses were ignored and new starting variables for the generators where determined. These starting variables were passed into a Gauss-Seidel iterative method which solved the new bus voltages and reactive generation for each of the generators. The objective function for fmincon was set to minimise the cost of the generators, and the constraint function was set to the Gauss-Seidel iteration. Buses were given lower and upper constraints and generator constraints were set from the minimum and maximum given in initialization. Fmincon was then called and solved for minimum cost according to stable constraints. The system was able to solve this problem the optimal power flow and provide an appropriate solution. However it was not determined whether the solution was a global minimum, or simply a local one. Stability was determined by the generators and buses being within their limits and a voltage stability index was determined. Different starting positions determined that using the economic dispatch provided the cheapest solution and produced a stable outcome. This thesis provides strong starting point for further expansion into the field of optimal power flow. The program provides a solution and is set to certain stability constraints. Adding new constraints, or increasing the size of the system is easily possible by the user.
APA, Harvard, Vancouver, ISO, and other styles
4

castello, brian. "CUBESAT MISSION PLANNING TOOLBOX." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/787.

Full text
Abstract:
We are in an era of massive spending cuts in educational institutions, aerospace companies and governmental entities. Educational institutions are pursuing more training for less money, aerospace companies are reducing the cost of gaining ight heritage and the government is cutting budgets and their response times. Organizations are accomplishing this improved efficiency by moving away from large-scale satellite projects and developing pico and nanosatellites following the CubeSat specifications. One of the major challenges of developing satellites to the standard CubeSat mission requirements is meeting the exceedingly tight power, data and communication constraints. A MATLAB toolbox was created to assist the CubeSat community with understanding these restrictions, optimizing their systems, increasing mission success and decreasing the time building to these initial requirements. The Toolbox incorporated the lessons learned from the past nine years of CubeSats' successes and Analytical Graphics, Inc. (AGI)'s Satellite Tool Kit (STK). The CubeSat Mission Planning Toolbox (CMPT) provides graphical representations of the important requirements a systems engineer needs to plan their mission. This includes requirements for data storage, ground station facilities, orbital parameters, and power. CMPT also allows for a comparison of broadcast (BC) downlinking to Ground Station Initiated (GSI) downlinking for payload data using federated ground station networks. Ultimately, this tool saves time and money for the CubeSat systems engineer
APA, Harvard, Vancouver, ISO, and other styles
5

Mishra, Deependra. "Computer Vision and Image Processing| Development and Optimization of MATLAB CVIP Toolbox." Thesis, Southern Illinois University at Edwardsville, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10807716.

Full text
Abstract:
<p> CVIPtools is a software package for the exploration of computer vision and image processing developed in the Computer Vision and Image Processing Laboratory at Southern Illinois University Edwardsville. Initially, CVIPtools was available to users with a graphical user interface and the CVIPtools C libraries. Here, the CVIPtools C functions are ported to MATLAB, using the MEX interface and compared to implementing the functions directly with MATLAB M-files. </p><p> The main purpose of CVIPtools is to offer the students, faculty, researchers, and any user a free and user-friendly tool to explore image processing techniques. With the addition of MATLAB CVIP toolbox, now the users have more freedom to choose an environment to work on image processing problems. Many functions have been implemented and are updated on a regular basis; the library has reached a level of sophistication that makes it suitable for both educational and research purposes. </p><p> The main objective of this research is to make MATLAB CVIP toolbox more extensive by adding more CVIPtools library function. And the other goal is to perform the computation time comparison between successfully ported function and MATLAB script to optimize the MATLAB CVIP toolbox for better performance and stability.</p><p>
APA, Harvard, Vancouver, ISO, and other styles
6

Jágr, Petr. "Využití prostředků umělé inteligence pro podporu rozhodování v podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223632.

Full text
Abstract:
The master’s thesis deals with the use of artificial intelligence as support for managerial decision making in the company. This thesis contains the application which utilize genetic and graph algorithms to optimize the location of production facilities and logistic warehouses according to transport cost aspects.
APA, Harvard, Vancouver, ISO, and other styles
7

Daniel, Martin. "Optimalizace v řízení dynamických systémů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316252.

Full text
Abstract:
Master’s thesis deals with using a linear matrix inequality (LMI) in control of a dynamic systems. We can define a stability of a dynamic system with a LMI. We can use a LMI for research if the poles of a system are in a given regions in the left half-plane of the complex plane with a LMI or we can use a LMI for a state feedback control. In the work we describe a desing of a controller minimizing a norm from an input to an output of the system. There is also a desing of a LQ controller with a LMI. In the end of the work, there are two examples of a design a LQ controller, which minimize the norm from the input to the output of the system and moves a poles of a dynamic system in a given regions in the complex plane, with the LMI. We use a LMI for a design a continuos LQ controller in the first example. In the second example we use a LMI for a design a discrete LQ controller.
APA, Harvard, Vancouver, ISO, and other styles
8

Mosharrof, Faisal Tanveer. "Structural optimization using MATLAB partial differential equation toolbox and radial basis function based response surface model." 2008. http://hdl.handle.net/10106/1081.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "MATLAB optimization toolbox"

1

Grace, Andrew. Optimization toolbox for use with MATLAB. MathWorks, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "MATLAB optimization toolbox"

1

López, César Pérez. "Optimization Techniques Via The Optimization Toolbox." In MATLAB Optimization Techniques. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0292-0_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ravat, Akhilesh Kumar, Amit Dhawan, and Manish Tiwari. "LMI and YALMIP: Modeling and Optimization Toolbox in MATLAB." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6840-4_41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wu, Yang, Jinlu Li, and Jian Zhang. "Optimal Reactive Power Planning Based on Quadratic Programming Function of MATLAB Optimization Toolbox." In Intelligent Computing for Sustainable Energy and Environment. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37105-9_35.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sun, Yilun, and Tim C. Lueth. "Extension of Matlab’s PDE Toolbox for Developing Bionic Structural Optimization Methods: Overlapping Region Concept." In Advances in Service and Industrial Robotics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19648-6_41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

"MATLAB Optimization Toolbox." In Design Optimization using MATLAB and SOLIDWORKS. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108869027.007.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

"7. Optimierung – Optimization Toolbox." In MATLAB – Simulink – Stateflow. De Gruyter Oldenbourg, 2020. http://dx.doi.org/10.1515/9783110636420-006.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

"7. Optimierung – Optimization Toolbox." In MATLAB - Simulink - Stateflow. De Gruyter Oldenbourg, 2016. http://dx.doi.org/10.1515/9783110484892-008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

"Chapter 5. Using MATLAB optimization toolbox." In Project Optimization. De Gruyter, 2021. http://dx.doi.org/10.1515/9783110625622-005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Singh, Satvir, Arun Khosla, and J. S. Saini. "Nature-Inspired Toolbox to Design and Optimize Systems." In Machine Learning Algorithms for Problem Solving in Computational Applications. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1833-6.ch017.

Full text
Abstract:
Nature-Inspired (NI) Toolbox is a Particle Swarm Optimization (PSO) based toolbox which is developed in the MATLAB environment. It has been released under General Public License and hosted at SourceForge.net (http://sourceforge.net/projects/nitool/). The purpose of this toolbox is to facilitate the users/designers in design and optimization of their systems. This chapter discusses the fundamental concepts of PSO algorithms in the initial sections, followed by discussions and illustrations of benchmark optimization functions. Various modules of the Graphical User Interface (GUI) of NI Toolbox are explained with necessary figures and snapshots. In the ending sections, simulations results present comparative performance of various PSO models with concluding remarks.
APA, Harvard, Vancouver, ISO, and other styles
10

Singh, Satvir, Arun Khosla, and J. S. Saini. "Nature-Inspired Toolbox to Design and Optimize Systems." In Software Design and Development. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4301-7.ch031.

Full text
Abstract:
Nature-Inspired (NI) Toolbox is a Particle Swarm Optimization (PSO) based toolbox which is developed in the MATLAB environment. It has been released under General Public License and hosted at SourceForge.net (http://sourceforge.net/projects/nitool/). The purpose of this toolbox is to facilitate the users/designers in design and optimization of their systems. This chapter discusses the fundamental concepts of PSO algorithms in the initial sections, followed by discussions and illustrations of benchmark optimization functions. Various modules of the Graphical User Interface (GUI) of NI Toolbox are explained with necessary figures and snapshots. In the ending sections, simulations results present comparative performance of various PSO models with concluding remarks.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "MATLAB optimization toolbox"

1

Gadekar, Ramdas, Abhishek Abhishek, and Mangal Kothari. "Design Optimization of a Rotor Blade for a Variable Pitch Quadrotor Unmanned Air Vehicle." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12722.

Full text
Abstract:
This paper describes design optimization of a rotor blade for variable pitch quadrotor unmanned air vehicle (UAV) to ensure optimal performance in hover and forward flight. In order to optimize the blade profile to maximize hover power loading, a modified Blade Element Theory based analysis is developed and validated using experimental measurements for sets of symmetric-untwisted rectangular blade and cambered-twisted variable chord blade. The blade twist and chord distribution is parametrized using fifth order polynomial functions and the BEMT analysis is coupled to Matlab optmization toolbox to maximize the power loading for an operational thrust of approximately 3N. It is observed that use of rotor blade with non-linear twist and non-linear chord variation results in significant improvement in hover performance for the variable pitch quadrotor UAV. The optimized blade profile and chord distribution with GOE-744 airfoil gives approximately 4% higher power loading than the COTS cambered and twisted blade and 17% higher power loading than the untwisted rectangular blade with symmetric airfoil. The forward flight performance of the optimized blades is compared with the baseline blades using a Blade Element Theory and Drees inflow model based trim analysis. It is observed that the optimized blade profile doesn't incur any significant penalty during forward flight due to high twist and its performance is similar to that of untwisted blade.
APA, Harvard, Vancouver, ISO, and other styles
2

Sun, Yilun, Lingji Xu, Jingru Yang, and Tim C. Lueth. "Automatic Design in Matlab Using PDE Toolbox for Shape and Topology Optimization." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10766.

Full text
Abstract:
Abstract In this paper, we present a novel concept of using Matlab’s Partial Differential Equation (PDE) Toolbox to achieve shape and topology optimization during the automatic mechanical design process. In our institute, we are developing a toolbox called Solid Geometry (SG) Library in Matlab to achieve automatic design of medical robots and mechanisms. The entire design process is performed in one developing environment without additional data input and output. And those robots and mechanisms can be quickly manufactured by different kinds of 3D printers. Recently, we have also integrated the shape and topology optimization techniques into our automatic design process by using the PDE Toolbox of Matlab for finite element analysis because of its high efficiency and compactness. For optimization algorithms, we have already implemented two bionic structural optimization methods called Computer Aided Optimization (CAO) and Soft Kill Option (SKO) to optimize the stress distribution in the structure. Since the complicated material layout in the optimization results can be easily realized by the 3D printing technology, the mechanical performance of our medical robots and mechanisms can be greatly improved with the work presented in this paper.
APA, Harvard, Vancouver, ISO, and other styles
3

Al-Dujaili, Abdullah, and S. Suresh. "A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization." In GECCO '16: Genetic and Evolutionary Computation Conference. ACM, 2016. http://dx.doi.org/10.1145/2908961.2931703.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Liu, Yin, Tianci Zhang, Yuqiong Gao, Liye Lv, and Xueguan Song. "A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization." In 2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019. http://dx.doi.org/10.1109/cyber46603.2019.9066591.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Alasooly, Hedaya, Mohammed Redha, Nader Barsoum, G. W. Weber, and Pandian Vasant. "SIMULATION OF SOME OF THE POWER ELECTRONICS CASE STUDIES IN MATLAB SIMPOWSYSTEM TOOLBOX." In POWER CONTROL AND OPTIMIZATION: Proceedings of the 3rd Global Conference on Power Control and Optimization. AIP, 2010. http://dx.doi.org/10.1063/1.3459739.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Xu, Liyang, Xinhai Xu, Yuhua Tang, Xiaoguang Ren, and Yunrui Guo. "A Matlab toolbox for modelling viscoelastic constitutive equation and parameter optimization." In 2017 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2017. http://dx.doi.org/10.1109/compcomm.2017.8323059.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Inserra, Daniele, Yongjun Huang, Guangjun Wen, Haobin Zhang, and Le Zuo. "Optimization of Circularly Polarized Corner Truncated Patch with Matlab Antenna Toolbox." In 2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP). IEEE, 2018. http://dx.doi.org/10.1109/apcap.2018.8538216.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Shivakumar, Sachin, Amritam Das, and Matthew M. Peet. "PIETOOLS: A Matlab Toolbox for Manipulation and Optimization of Partial Integral Operators." In 2020 American Control Conference (ACC). IEEE, 2020. http://dx.doi.org/10.23919/acc45564.2020.9147712.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Samavati, Farzad Cheraghpour, Hamed Mesgari, S. Ali, and A. Moosavian. "A comparison between MATLAB optimization toolbox and GA in cooperative grasp planning." In 2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM). IEEE, 2011. http://dx.doi.org/10.1109/ramech.2011.6070511.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Adeel, Muhammad, Hadeed Ahmed Sher, and Ahmad Kamal Hassan. "A MATLAB Toolbox for the Extraction of PV Module Parameters Using Optimization Algorithms." In 2023 25th International Multitopic Conference (INMIC). IEEE, 2023. http://dx.doi.org/10.1109/inmic60434.2023.10466032.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "MATLAB optimization toolbox"

1

Dunlavy, Daniel M., Evrim Acar, and Tamara Gibson Kolda. Poblano v1.0 : a Matlab toolbox for gradient-based optimization. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/989350.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'MATLAB optimization toolbox' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography