Tutorials Presented

Below is a list of tutorial that I have presented and co-presented at conferences and other academic institutions:

  • Particle Swarm Optimization for Learning Game Strategies
  • Particle Swarm Optimization: Pitfalls and Convergence Aspects
  • Particle Swarm Optimization
  • Computational Swarm Intelligence
  • Particle Swarm Optimization in Dynamic Environments
  • An Introduction to Particle Swarm Optimization
  • CIlib
  • Particle Swarm Optimization Lore
  • Niching Methods for Multimodal Optimization
  • Recent Advances on Multi-modal Optimization
  • Particle Swarm Optimization: A Multi-Purpose Optimization Approach
  • Particle Swarm Optimization: A Guide to E↵ective, Misconception Free, Real World Use
  • Recent Advances in Particle Swarm Optimization Analysis and Understanding

Keynotes and Invited Talks presented

Below is a list of keynotes, invited talks and seminar talks presented at conferences and other academic institutions:

  • Neural Network Architecture Optimization
  • Sensitivity Analysis of Neural Networks
  • What can we Learn from Sensitivity Analysis of Neural Networks?
  • Particle Swarm Optimization: An Introduction and Some Applications
  • Particle Swarm Optimization: A Universal Optimiser?
  • Using Coevolutionary Particle Swarm Optimization for Strategy Generation
  • Strategy Learning from Zero Knowledge
  • CIlib: A Component-based Framework for Plug-and-Simulate Hybrid Computational Intelligence Systems
  • Natural Computing
  • Particle Swarm Optimization in Dynamic Environments
  • Finding Multiple Solutions to Unconstrained Optimization Problems using Particle Swarm Optimization
  • Trends in New Computational Models from Nature
  • Locating and Tracking Multiple Optima using Particle Swarm Optimization
  • Particle Swarm Optimization with Heterogeneous Behaviors
  • Dynamic Multi-Objective Optimization using Particle Swarm Optimization
  • Recent Advances in Swarm Intelligence
  • Heterogeneous Particle Swarm Optimizers: Scalability, Self-Adaptive Behaviors, and Dynamic Environments
  • Multi-Guided Particle Swarm Optimization for Multi-Objective Optimization Problems
  • Hyper-Heuristic Framework for Real-Valued Dynamic Optimization
  • Training Neural Networks using Particle Swarm Optimization
  • A Hyper-Heuristic Framework for Dynamic Optimization Problems
  • Eugene Marais Soul of the White Ant: Forerunner of Modern Machine Learning
  • Particle Swarm Optimization for Large Scale Optimization
  • Multi-modal Optimization in Dynamic Environments using Particle Swarm Optimization
  • Multi-guide Particle Swarm Optimization for Multi- and Many-Objective Optimization
  • Forecasting Non-Stationary Time Series without Recurrent Connections
  • Set-based Particle Swarm Optimization and Its Applications