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Introduction to Optimization Technique

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A brief introduction to optimization techniques. Both conventional and nature-based optimization techniques covered with Self Explanatory Presentations along with example problems.Weekly Assignments and End of Month Tests and lastly on successfully clearing the tests: Certificate of Completion. Scope of publication will also be provided at the end of the course.

Course Content :

1)Introduction to Optimization Technique

2)Difference between Simulation, Prediction and Optimization

2)Classification of Optimization Techniques

2)Particle Swarm Optimization

3)Artificial Neural Network

4)Polynomial Neural Network

5)Ant Colony Optimization

6)Linear Programming

7)Dynamic Programming

Course Duration: 1 Year

Certificate: Yes

Scope of Paper/Book Chapter Publication: Yes

Each technique explained with an example.

Scope of one to one interaction with the coordinator for one year.

Introduction to Optimization Technique

A brief introduction to optimization techniques. Both conventional and nature-based optimization techniques covered with Self Explanatory Presentations along with example problems.Weekly Assignments and End of Month Tests and lastly on successfully clearing the tests: Certificate of Completion. Scope of publication will also be provided at the end of the course.

Course Content :

1)Introduction to Optimization Technique

2)Difference between Simulation, Prediction and Optimization

2)Classification of Optimization Techniques

2)Particle Swarm Optimization

3)Artificial Neural Network

4)Polynomial Neural Network

5)Ant Colony Optimization

6)Linear Programming

7)Dynamic Programming

Course Duration: 1 Year

Certificate: Yes

Scope of Paper/Book Chapter Publication: Yes

Each technique explained with an example.

Scope of one to one interaction with the coordinator for one year.

  • Explained with example problems.Weekly Assignments and End of Month Tests and Opportunity to Publish in Journals

  • Course Duration
    One Year but can be extended
  • Linear Programming included ?
    Yes
  • Dynamic Programmin covered ?
    Yes
  • How many examples provided
    Minimum 10 per topic but regularly updated
  • What I will miss if I terminate the subscription ?
    Regular updates in Examples, Case Studies and New Materials
  • Explained with example problems.Weekly Assignments and End of Month Tests and Opportunity to Publish in Journals
  • Course DurationOne Year but can be extended
  • Linear Programming included ?Yes
  • Dynamic Programmin covered ?Yes
  • How many examples providedMinimum 10 per topic but regularly updated
  • What I will miss if I terminate the subscription ?Regular updates in Examples, Case Studies and New Materials
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