Running direct search optimization problems in MATLAB
Specifying objective functions
Vectorizing objective function and constraints
Obtaining local and global optima
3 sections • 21 lectures • 48m total length
How Pattern Search Works?
What is Direct/Pattern Search ?
Unconstrained Pattern Search Minimization
Pattern Search with a Linear Inequality Constraint
Pattern Search with a Linear Equality Constraint
Pattern Search with Bounds
Pattern Search with Nonlinear Constraints
Obtain Function Value And Minimizing Point
Using a Complete Poll in a Generalized Pattern Search
Vectorize the Objective and Constraint Functions
Compute in Parallel
Maximizing an Objective Function
Exit Flag and Output
Quiz on Optimization
Practice test on optimization
MATLAB installed in your laptop/desktop computer
This course introduces applied direct search optimization in the MATLAB environment, focusing on using Global Optimization Toolbox. Various kinds of optimization problems are solved in this course. At the end of this course, you will be able to solve the optimization problems using the MATLAB. The complete MATLAB programs included in the class are also available for download. Happy learning.
NB: This course is designed most straightforwardly to utilize your time wisely.
Who this course is for:
Anyone who is interested to solve optimization problems.
Researchers who want to publish ISI papers in this field.
Students who are working on optimization problems.
Engineer dedicated to utilizing the power of CFD and Machine learning for the solution of real-world problems, improved design, and performance assessment. Over 4 years’ experience in engineering, and R&D environment. Skilled in ANSYS Fluent, MATLAB, DesignModeler & Meshing, ICEM CFD, Python, and SolidWorks. Strong engineering professional with a focus on Multi-physics CFD from IIT Madras.