Dear Reader,
Are you interested in learning how nature-inspired processes can be used to solve complex engineering, scientific, and decision-making problems?
You are invited to enroll in the e-course Bio-Inspired Optimization Techniques, a practical and concept-focused course designed for students, researchers, academics, and professionals working with optimization, artificial intelligence, modelling, data analysis, and hydroinformatics.
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.
The course introduces major bio-inspired and swarm-intelligence optimization methods, alongside neural-network-based optimization approaches. The modules include:
Genetic Algorithm
Artificial Neural Networks
Polynomial Neural Networks
Training Algorithms
Quasi-Newton Algorithms
Levenberg–Marquardt Algorithm
Conjugate Gradient Descent
Newton’s Method
GMDH Shell for Neural Optimization
Glowworm Optimization Algorithm — Parts 1 and 2
Particle Swarm Optimization
Mine Blast Algorithm
Water Cycle Algorithm
Cuckoo Search Algorithm
Dolphin Echolocation Algorithm
Fish Swarm Optimization Technique
Firefly Optimization Technique
Invasive Weed Optimization Technique
Albatross Wind Shear Algorithm
Cat Swarm Optimization Techniques
Moth-Flame Optimization Techniques
Ant Colony Optimization
Galactic Swarm Optimization
Hummingbird Optimization Algorithm — Parts I and II
Grey Wolf Optimization
Click here to Join the Course.
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
Email: contact.at.baipatra.ws
This course, along with 20 other online courses covering topics from multi-criteria decision-making (MCDM) to flood routing, is available through The Hydroinformatics Bundle.
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