Invitation to Join the E-Course: Application of Bio-Inspired Optimization Techniques on Water Resource Development and Management(BIOT)

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kuttu80

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Aug 22, 2026, 4:16:04 AMAug 22
to Hydrology

Dear Reader,

Are you interested in learning how nature-inspired processes can be used to solve complex engineering, scientific, and decision-making problems related to water resource development and management?

You are invited to enroll in the e-course Bio-Inspired Optimization Techniques(BIOT), a practical and concept-focused course designed for students, researchers, academics, and professionals working with optimization, artificial intelligence, modelling, data analysis, and hydroinformatics.

Join the Course : https://dodo.pe/sehmnb4mz2

This course is also included in The Hydroinformatics Bundle, offering an opportunity to build broader skills in computational methods and their applications to water-resources and environmental problems.

What you will learn

The course introduces major bio-inspired and swarm-intelligence optimization methods, alongside neural-network-based optimization approaches. The modules include:

  1. Genetic Algorithm

  2. Artificial Neural Networks

  3. Polynomial Neural Networks

  4. Training Algorithms

  5. Quasi-Newton Algorithms

  6. Levenberg–Marquardt Algorithm

  7. Conjugate Gradient Descent

  8. Newton’s Method

  9. GMDH Shell for Neural Optimization

  10. Glowworm Optimization Algorithm — Parts 1 and 2

  11. Particle Swarm Optimization

  12. Mine Blast Algorithm

  13. Water Cycle Algorithm

  14. Cuckoo Search Algorithm

  15. Dolphin Echolocation Algorithm

  16. Fish Swarm Optimization Technique

  17. Firefly Optimization Technique

  18. Invasive Weed Optimization Technique

  19. Albatross Wind Shear Algorithm

  20. Cat Swarm Optimization Techniques

  21. Moth-Flame Optimization Techniques

  22. Ant Colony Optimization

  23. Galactic Swarm Optimization

  24. Hummingbird Optimization Algorithm — Parts I and II

  25. Grey Wolf Optimization

Click here to Join the Course : https://dodo.pe/sehmnb4mz2

Who should join

This e-course is particularly suitable for:

  • Undergraduate and postgraduate students in engineering, environmental science, computer science, and related disciplines

  • Researchers seeking to apply advanced optimization techniques in modelling and analysis

  • Faculty members and professionals interested in artificial intelligence and computational intelligence

  • Water-resources and environmental professionals exploring hydroinformatics applications

Whether your objective is to optimize a model, calibrate parameters, improve decision-making, or explore artificial-intelligence methods, this course will provide a structured introduction to a diverse range of powerful algorithms.

Enroll in Bio-Inspired Optimization Techniques today, or access it as part of The Hydroinformatics Bundle, and begin expanding your computational problem-solving toolkit.

Warm regards,
Dr.Mrinmoy Majumder
Associate Professor,Hydroinformatics Lab,NIT Agartala,India
Course Link :

  BIOT :  https://dodo.pe/sehmnb4mz2

The Hydroinformatics Bundle : https://dodo.pe/98u92sc51a9
Email: contact.at.baipatra.ws

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