A Quick Way to Learn and Solve Optimization Problems in MATLAB. A Course for Beginners.
What you will learn
Running direct search optimization problems in MATLAB
Specifying objective functions
Specifying constraints
Vectorizing objective function and constraints
Obtaining local and global optima
Parallel computing
Description
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.
English
language
Content
Introduction to Optimization
Welcome to the course
Local optima and Global optima
Single local solution, Multiple local solutions and Single global solution
Objective or Fitness Functions
What is Objective Function ?
MATLAB Script For Single Objective Function
MATLAB Script For Vectorized Function Call
Passing Extra Parameters, Fixed Variables, or Data in the Objective Functions
Direct/Pattern Search with MATLAB
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
Stopping Criteria
Exit Flag and Output
Quiz on Optimization
Practice test on optimization