Single local solution, Multiple local solutions and Single global solution
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
What is Genetic Algorithm?
Fitness/Objective Functions, Individuals/genome and Score
Populations and Generations
Fitness Values, Best Fitness Values, Parents, Children
How Genetic Algorithm Works?
Minimize the Unconstrained Function
Minimize a Function with Linear Inequality Constraints
Minimize a Nonsmooth Function with Linear Equality and Inequality Constraints
Optimize with Linear Constraints and Bounds
Optimize with Nonlinear Constraints
Minimize a Nonlinear Function with Integer Constraints
Obtain the Solution and Function Value
Global Minima Using ga
Vectorized Fitness Function
Maximizing an Objective Function
Quiz on Genetic Algorithm in MATLAB
MATLAB installed in your laptop/desktop computer
There has been a rapidly growing interest in a field called Genetic Algorithms during the last thirty years. Have you ever wondered how specific theories greatly inspire a particular invention?. The same goes with Genetic Algorithms. All of us would have heard of the famous view of Charles Darwin, “Survival of the fittest”, which extends to Evolution by Natural Selection. Inspired by Darwin’s theory, the Genetic Algorithm is a part of Evolutionary Algorithms, specifically to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover, and selection. The Genetic Algorithm can be easily applied to different applications, including Machine Learning, Data Science, Neural Networks, and Deep Learning.
This course will teach you to implement genetic algorithm-based optimization in the MATLAB environment, focusing on using the Global Optimization Toolbox. Various kinds of optimization problems are solved in this course. At the end of this course, you will implement and utilize genetic algorithms to solve your optimization problems. The complete MATLAB programs included in the class are also available for download. This course is designed most straightforwardly to utilize your time wisely. Take advantage of learning and understanding the fast-growing field of evolutionary computation.
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 to solve real-world problems, improve design and performance assessment. Over ten years of experience in engineering and R&D environment. Engineering professional with a focus on Multi-physics CFD-ML from IIT Madras. Experienced in implementing action-oriented solutions to complex business problem.