Bio-inspired computing is a family of algorithms based on models of biological systems and behaviors. This talk will explore the wonders of these methods and the problems they can solve. Discover how genetic algorithms imitate the process of natural evolution to find the best solutions for given problems. Learn how genetic programming evolves computer programs to accomplish specific tasks. See how ant colony optimization mimics the way certain species of ants locate food and prioritize resources. Additionally, learn about particle swarm optimization, based on the behavior of flocks of birds, where individuals work together toward a common goal. We will also cover several frameworks and resources to help you get started.

Key takeaways:
* Understand the basic principles and concepts behind algorithms modeled after biological systems and behaviors
* Learn how genetic algorithms simulate natural evolution to identify optimal solutions for complex problems
* See real-world examples of how these bio-inspired methods can be applied across various industries to solve challenging problems

Based on my book 'Hands-On Genetic Algorithms with Python'