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1.1.4 Heuristic Algorithms

Lectures
Lecture_1 ( Introduction)
Lect_1.1
Lect_1.2
Lect_1.3
Lect_1.4
Lecture 2 (GA fundamentals)
Lect_2.1
Lect_2.2
Lect_2.3
Lecture 3 (Ant Colony Optimizatin)
Lect_3.1
Lect_3.2
Lecture 4 (PSO)
Lect_4.1
Lect_4.2
L3ct_4.3
Lecture 5 (Simulated Annealing)
Lect_5.1
Lect_5.2
Lect_5.3
Lecture 6 (Tabu Search)
Lect_6.1
Lect_6.2
Lect_6.3
Lecture7 (Constraint-Handling)
Lect_7.1
Lect_7.2
Lect_7.3
Lecture 8 (Enhancements/Modifications)
Lect_8.1
Lect_8.2
Lect_8.4
Lecture 9 (Multiobjective optimization, introduction)
Lecture 10 (Multiobjective optimization, classical methods)
Lecture 11 (MOO GA)
Lecture 12 (MOO PSO,...)
Lecture 13 (Theory of NPC)
Lecture 14 (Approximation)