Week |
Subjects |
Files |
#1 |
Basic concepts, Constraints, User-defined functions in Matlab, Least-Squares Method |
Presentation |
#2 |
Gradient, Jacobian and Hessian Matrices, Using Optimization Toolbox in Matlab |
|
#3 |
Optimization and Genetic Algorithm |
none yet |
#4 |
Binary Genetic Algorithm |
none yet |
#5 |
Continuous Genetic Algorithm |
none yet |
#6 |
Scheme Theorem and Convergence |
none yet |
#7 |
Basic Applications: Curve-fitting & Minimization problems |
none yet |
#8 |
Basic Applications: Filter (FIR,IIR) design, Travelling salesman |
none yet |
#9 |
Pattern Recognition Applications: Optimizing perceptron, Feature selection, Sample-size reduction |
none yet |
#10 |
Hand out assignment #1: Solving an optimization problem in your field
Hand out assignment #2: Preparing a report and presentation to explain other natural optimization algorithms
(Simulated annealing, Particle swarm, Ant colony, Artifical bee, Artificial immune system, Cultural algorithms, and Evolutionary strategies)
by comparing the GA |
none yet |
#11 |
Future of Genetic Algorithms: Discussion session on advanced topics |
none yet |
#12 |
Future of Genetic Algorithms: Discussion session on advanced topics |
none yet |
#13 |
Handing in the reports and presenting posters of assignments #1 |
none yet |
#14 |
Handing in the reports and presenting posters of assignments #2 |
none yet |