Lecture Schedule


A general lecture schedule is provided below. Note that, for the time being, the lectures will be presented online.

Week Date Topic
1 15 - 19 Mar Topic 1: Optimization Theory
2 23 - 26 Mar Topic 2: Computational Swarm Intelligence: Particle Swarm Optimization
Basic PSO, PSO convergence and roaming behavior
3 29 Mar - 1 Apr Topic 2: Computational Swarm Intelligence: Particle Swarm Optimization
Single-solution PSO, Heterogeneous PSO, Self-adaptive PSO
4 6 - 9 Apr Topic 2: Computational Swarm Intelligence: Particle Swarm Optimization
PSO for large-scale optimization and discrete-valued problems, Multi-modal PSO
5 12 - 16 Apr Topic 2: Computational Swarm Intelligence: Particle Swarm Optimization
PSO for dynamic optimization problems, constrained optimization problems,
multi- and many-objective optimization problems, dynamic multi-objective optimization problems
6 19 - 23 Apr Topic 3: Computation Swarm Intelligence: Ant Algorithms
Introduction to ant algorithms, ant colony optimization meta-heuristic
7 26 - 30 Apr Topic 3: Computation Swarm Intelligence: Ant Algorithms
Cemetery organization behavior, division of labor behavior
8 10 - 14 May Topic 4: Evolutionary Computation
Introduction to evolutionary algorithms, Genetic algorithms
9 17 - 21 May Topic 4: Evolutionary Computationg
Genetic programming, Evolutionary programming
10 24 - 28 May Topic 4: Evolutionary Computation
Evolutionary strategies, Cultural algorithms
11 31 May - 4 Jun Topic 4: Evolutionary Computation
Co-evolution
12 7 - 11 Jun Topic 4: Evolutionary Computation
Estimation of distribution algorithms
13 14 - 18 Jun Topic 5: Hyper-Heuristics

Lecture are scheduled for Thursdays at 13:00 to 16:00.