2021 Complete guide on optimization problems in Mechanics
What you'll learn
- How to apply Optimization Algorithms in Real-World Mechanical Engineering Problems
- How to mathematically formulate your optimization problems in GAMS?
- The classic optimization problems in Mechanical Engineering
- Students should have preliminary knowledge about mathematics, physics, and preferably mechanical engineering
This course presents a methodological and systematic set of guidelines and applications of optimization algorithms (e.g. GAMS) for real-world problems in mechanical engineering.
It provides an invaluable resource for undergraduate/postgraduate students as well as practicing engineers working in the mechanical engineering sector
It contains several applied case-studies, industrial and practical examples.
In this course, you will learn:
The basics of optimization techniques applied to mechanical engineering problems.
The problem-solving skill that enables you to deal with the practical aspects of optimization and mechanical engineering.
How to formulate a real-world mechanical engineering problem as an engineering optimization problem.
How to write optimization codes for applying on mechanical engineering problems.
How to deal with real problems from industry and the approach that should be taken to solve them.
Who this course is for:
- undergraduate/postgraduate students as well as practicing engineers working in mechanical engineering sector
Optimization expert in large-scale data
Power System Engineer specializing in power system long term and operation planning.
Efficient with simulation (Load Flow, Dynamics, Harmonics using Python, PSSe, and GAMS).
Are you looking for a powerful optimisation course ? join this course
Are you going to use it for your thesis ? join this course
Are you trying to mathematically formulate your optimisation problem ? join this course
Optimization team will proudly provide this course.
It contains interesting topics and examples in the fields of mechanical engineering, electrical engineering, chemical engineering, and energy engineering.
Step by step teaching approach, practical quizzes, and examples in each topic.
Single and multi objective optimization problems that could be used for various applications.