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ELTN 3272 – Optimization Techniques and Applications

ELTN 3272 – Optimization Techniques and Applications

Categories: ELTN, LMS
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About Course

This course covers optimization techniques used to find the best solutions to problems, with a focus on engineering, design, and other fields. Students will learn different types of optimization problems, algorithms, software tools, and applications. The course aims to equip students with the skills to analyze problems and make data-driven decisions.

What Will You Learn?

  • How can optimization techniques be applied to design efficient and reliable electronic systems, and what are some important design variables to consider?
  • What are some common algorithms and software tools used in electronic optimization, and how can they be used to solve specific problems in the field?
  • How can you apply optimization techniques to specific applications in electronics, such as power electronics, signal processing, and control systems?

Course Content

1. Introduction to Optimization

2. Evolution of Genetic Algorithms

3. Introduction to Genetic Algorithms

4. Particle Swarm Optimization

5. Monkey Swarm Optimization

6. Artificial Bee Colony Optimization