Adaptive and Cooperative Algorithms (ECE 457A) - University of Waterloo

This is the page for the course Adaptive and Cooperative Algorithms (ECE 457A), offered in fall 2023 at the University of Waterloo.

Videos of Lectures:

See videos on Youtube

Lectures

• Course introduction:
  • Course outline: (outline)
  • Course introduction: (slides), (annotated slides)
• Metaheuristic optimization:
  • Preliminaries on optimization: (slides), (annotated slides)
  • Local search: (slides), (annotated slides)
  • Simulated annealing: (slides), (annotated slides)
  • Particle Swarm Optimization (PSO): (slides), (annotated slides)
  • Genetic algorithm: (slides), (annotated slides)
  • Genetic programming: (slides), (annotated slides)
  • Evolutionary programming: (slides), (annotated slides)
  • Differential evolution: (slides), (annotated slides)
  • Tabu search: (slides), (annotated slides)
  • Ant Colony Optimization (ACO): (slides), (annotated slides)
  • Grey Wolf Optimizer (GWO): (slides), (annotated slides)
  • Nelder-Mead optimization: (slides), (annotated slides)
• Game theory:
  • Introduction to game theory: (slides), (annotated slides)
  • Dominant strategy equilibrium and Nash equilibrium: (slides), (annotated slides)
  • Bayesian Nash equilibrium: (slides), (annotated slides)
  • Mixed strategy: (slides), (annotated slides)
  • Continuous strategies and duopoly: (slides), (annotated slides)
  • Dynamic games: (slides), (annotated slides)
  • Repeated games: (slides), (annotated slides)
• Reinforcement learning (including Markov decision process, value iteration, policy iteration, Bellman equation, temporal difference, Q-function, Q-learning, deep Q-network, REINFORCE Algorithm)
  • Reinforcement learning: (slides), (annotated slides)
• Fuzzy sets, fuzzy logic, and fuzzy system
  • Fussy sets and fuzzy logic: (slides), (annotated slides)
  • Fuzzy inference system (Mamdani, Sugeno, Tsukamoto): (slides), (annotated slides)
• Tutorial sessions:
  • Videos on Youtube - videos with (T#) in their titles
  • Tutorial 1: (slides)
  • Tutorial 2: No slides
  • Tutorial 3: No slides
  • Tutorial 4: (slides)
  • Tutorial 5: (slides)
  • Tutorial 6: (slides)
  • Tutorial 7: (slides), (annotated slides)
  • Tutorial 8: (slides)
  • Tutorial 9: (slides)
  • Tutorial 10: (slides)
  • Tutorial 11: (slides)
  • Tutorial 12: (slides)