Optimization algorithm using matlab

A video tutorial on Firefly Optimization Algorithm and its implementation in MATLAB from scratch
4.35 (130 reviews)
Udemy
platform
English
language
Math
category
Optimization algorithm using matlab
6 774
students
1 hour
content
Sep 2018
last update
$13.99
regular price

Why take this course?

🧬 Mastering Optimization with MATLAB: A Deep Dive into Firefly Algorithm TDM Dr. Zaji invites you on an enlightening journey through the intricacies of optimization with a special focus on the Firefly Optimization Algorithm. This comprehensive video tutorial is designed for enthusiasts and professionals alike who aspire to master this versatile algorithm and harness its power within MATLAB.

Course Overview:

  • Understanding the Fundamentals: Begin by grasping the core mathematical concepts behind the Firefly Optimization Algorithm, which has gained significant attention in scientific circles for its robust performance across various domains.
  • Real-World Implementation: Learn to translate these concepts into practical applications by coding the algorithm from scratch in MATLAB.

What You'll Learn:

  • Theoretical Foundations: Dive deep into the mathematical principles that govern the Firefly Optimization Algorithm, including its search mechanisms and selection strategies.
  • Hands-On Coding: Follow along as Dr. Zajic writes MATLAB code in real-time, ensuring you understand each line of code for your own implementation.
  • Versatility Across Platforms: While this course uses MATLAB, the underlying concepts are universal and can be adapted to other programming languages.
  • Practical Examples: See how the Firefly Optimization Algorithm is applied to solve real-world problems, providing you with a foundation for your own projects.

Course Structure:

  1. Introduction to Firefly Optimization Algorithm: A high-level overview of what the algorithm entails and its potential applications.
  2. Mathematical Modeling: Dissect the mathematical model that drives the Firefly Optimization Algorithm.
  3. Programming in MATLAB: Step-by-step coding examples, with each function and subroutine explained and demonstrated live.
  4. Implementation Techniques: Best practices for implementing the algorithm within MATLAB for optimal performance and usability.
  5. Advanced Applications: Explore how the Firefly Optimization Algorithm can be tailored to different problems and industries.

Who Is This Course For?

  • Researchers and scientists in various fields seeking innovative optimization solutions.
  • MATLAB users looking to expand their toolkit with advanced algorithms.
  • Students and academics interested in the field of computational intelligence and optimization.
  • Professionals from engineering, economics, and any other discipline where optimization is crucial.

Join Us on This Intellectual Expedition: Whether you're a seasoned MATLAB user or new to optimization algorithms, this course will equip you with the knowledge and skills to implement the Firefly Optimization Algorithm effectively. By understanding its components from scratch, you'll be able to customize it for your unique needs and contribute meaningfully to the field of optimization.

📅 Don't miss out on this opportunity to elevate your skill set with one of the most powerful and widely-applicable optimization algorithms. Enroll now and let Dr. Zaji guide you through the Firefly Optimization Algorithm's fascinating world!

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1845494
udemy ID
08/08/2018
course created date
10/09/2019
course indexed date
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course submited by
Optimization algorithm using matlab - | Comidoc