Intelligent Optimization Technique

Course 2 - Intelligent Optimization Techniques

Course objective: The course aims at building capabilities in the students for analyzing different situations in the industrial/ business scenario involving limited resources and finding the optimal solution within constraints by using advanced optimization tools 

1. Genetic Algorithm - https://youtu.be/4gqgWfOIqeI 

2. Tabu search - https://youtu.be/xYbOFgGtqBo

3. Ant colony optimization - https://youtu.be/m7esQjfEpBY

4. Particle Swarm Optimization - https://youtu.be/7-O92TCtGLM

5. Simulated Annealing Algorithm - https://youtu.be/A39YiEfXwec

6. Firefly Algorithm - https://youtu.be/BYNPE8xB3CU

7. Whale optimization - https://youtu.be/KEed6IAY7gw 

8. Fuzzy Logic modeling - https://youtu.be/QJFYNN9ekcg

9. Neural network modeling - https://youtu.be/k5mWt8Lj_4I

10. Matlab coding for Genetic Algorithm - https://youtu.be/4g2KIBYlnxw 

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