Explanation
Colony Optimization Algorithm (Using MATLAB) This course is specially developed for B. Tech. and M. Tech/MS students in all engineering disciplines. Especially Mechanical, Electrical, Automobile, Chemical, Aeronautical, Electronics, Computer Science, Instrumentation, Mechatronics, Manufacturing, Robotics and Civil Engineering students can learn the basics of MATLAB and solve Optimization Engineering problems in their environment as part of a small or capstone project. . . In addition to this, the course is also useful for Ph. D. students in various fields of engineering.
The course is designed so that the student who does not have good knowledge of MATLAB program can learn the basics of MATLAB in the first part so that he can easily understand MATLAB implementation of Algorithm in Artificial Bee colony to solve simple problems. and advanced engineering problems. The content is highly structured so that the student can understand the evolution of Engineering from scratch and solve research problems leading to publication in international journals of high repute. It should be useful for all university students around the world.
What will you learn?
- Write MATLAB programs to solve engineering problems
- Understand the Artificial Bee Colony Optimization Algorithm (ABC)
- Apply the ABC Algorithm to solve point-by-point problems
- Apply ABC Algorithm to solve Mechanical Engineering problems
- Design and develop a MATLAB program using the ABC Algorithm for a Mechanical Engineering Optimization problem
- Work on a research problem that leads to publication in international journals of high repute
Who is this course for?
- Undergraduate, graduate and PhD students in all fields of engineering
Features of Artificial Bee Colony Optimization Algorithm (Using MATLAB)
Abstract of Artificial Bee Colony Optimization Algorithm (Using MATLAB)
Requirements
- Basic Mathematical Knowledge
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