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Beginnt 4 June 2026 17:19

Endet 4 June 2026

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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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6076 Kurse


52 minutes

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Übersicht

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.

Lehrplan

  • Introduction to Swarm Intelligence
  • Overview of Swarm Intelligence
    Examples in Nature and AI
    Importance and Applications
  • Cat Swarm Algorithm (CSA)
  • History and Development
    Detailed Explanation of CSA Mechanics
    Comparison with Other Swarm Algorithms
  • Random Number Generation in C++
  • Basics of Random Number Generation
    Utilizing C++ Libraries for Randomization
    Best Practices in Random Number Use
  • Programming with SFML Graphics
  • Introduction to SFML and its Capabilities
    Setting Up a Simple SFML Project
    Visualizing Swarm Intelligence with SFML
  • Implementing the Cat Swarm Algorithm
  • Structuring Code for CSA in C++
    Integrating Random Numbers in CSA
    Visualizing CSA with SFML
  • Testing Strategies for Randomized Code
  • Importance of Testing in AI
    Techniques for Testing Randomized Algorithms
    Case Study: Testing the Cat Swarm Algorithm
  • Hands-On Project
  • Develop a Basic Cat Swarm Algorithm Simulation
    Visualize Simulation with SFML
    Test and Optimize Algorithm Performance
  • Future of Swarm Intelligence and AI
  • Advancements in Swarm Intelligence
    Potential Impact on Technology Fields
    Ethical Considerations in AI Development
  • Course Review and Q&A
  • Recap of Key Topics
    Open Session for Questions and Discussions

Fachgebiete

Programming