Nature Inspired Algorithms
The aim of the lecture is to provide an introduction to nature-inspired algorithms, such as evolutionary algorithms, neural networks, etc.
The materials for the lecture are published on this page, the materials for the exercises are on Gabriela Kadlecová’s webpage.
The exam will be oral with time for preparation. The exam should test the topics covered in the lecture and their applications. A detailed description of the exam and a list of examined topics is on a separate page.
Previous lessons
| Date | Topic |
|---|---|
| Feb 19 | Introduction - artificial intelligence, computational intelligence |
| Feb 26 | Reinforcement Learning - Q-learning, SARSA, multi-agent reinforcement learning |
| Mar 4 | Evolutionary Algorithms - Simple Genetic Algorithm, Operators, Fitness |
| Mar 11 | Evolutionary Algorithms - Continuous and Combinatorial Optimization |
| Mar 18 | Evolutionary Algorithms - Genetic Programming |
| Mar 25 | Lecture cancelled (I will be on a conference) |
| Apr 1 | Easter Monday |
| Apr 8 | Neural Networks - Introduction |
| Apr 15 | Neural Networks - RBF Networks, Recurrent Neural Networks |
| Apr 22 | Neural Networks - Convolutional Networks and Image Processing |
| Apr 29 | Neuroevolution |
| May 6 | Swarm Algorithms - Particle Swarm Optimization, Ant Colony Optimization |
| May 13 | Deep Reinforcement Learning |
| May 20 | Artificial Life |