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Starts 9 June 2025 08:59
Ends 9 June 2025
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An Introduction to Swarm Intelligence Algorithms
Explore swarm intelligence algorithms through the "cat swarm algorithm" implementation. Learn about nature-inspired AI, random number generation in C++, SFML graphics, and testing strategies for randomized code.
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Overview
Explore swarm intelligence algorithms through the "cat swarm algorithm" implementation. Learn about nature-inspired AI, random number generation in C++, SFML graphics, and testing strategies for randomized code.
Syllabus
- Introduction to Swarm Intelligence
- Cat Swarm Algorithm (CSA)
- Random Number Generation in C++
- Programming with SFML Graphics
- Implementing the Cat Swarm Algorithm
- Testing Strategies for Randomized Code
- Hands-On Project
- Future of Swarm Intelligence and AI
- Course Review and Q&A
Overview of Swarm Intelligence
Examples in Nature and AI
Importance and Applications
History and Development
Detailed Explanation of CSA Mechanics
Comparison with Other Swarm Algorithms
Basics of Random Number Generation
Utilizing C++ Libraries for Randomization
Best Practices in Random Number Use
Introduction to SFML and its Capabilities
Setting Up a Simple SFML Project
Visualizing Swarm Intelligence with SFML
Structuring Code for CSA in C++
Integrating Random Numbers in CSA
Visualizing CSA with SFML
Importance of Testing in AI
Techniques for Testing Randomized Algorithms
Case Study: Testing the Cat Swarm Algorithm
Develop a Basic Cat Swarm Algorithm Simulation
Visualize Simulation with SFML
Test and Optimize Algorithm Performance
Advancements in Swarm Intelligence
Potential Impact on Technology Fields
Ethical Considerations in AI Development
Recap of Key Topics
Open Session for Questions and Discussions
Subjects
Programming
