進化計算特論_E
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Instructor(s) |
Hitoshi Kanoh
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kanoh (at) cs.tsukuba.ac.jp | |
URL | |
Office hours | E-mail appointment necessary |
Cource# | 01CH608 |
Area | Intelligent System |
Basic/Advanced | |
Course style | Lecture |
Term | SprAB |
Period | Fri3,4 |
Room# | 3A402 |
Keywords | |
Prerequisites | Data Structure and Algorithms, Linear Algebra, Analysis |
relation degree program competence | Knowledge Utilization Skills,International Skills,Research Skills,Expert Knowledge |
Goal | |
Outline | Problem solving methods such as genetic algorithms, artificial life and particle swarm optimizations are explained.These are discussed from a practical point of view. |
Course plan |
1. Constraint Satisfaction Problems 2. Foundation of Genetic Algorithms (GA) 3. Improvement of GA 4. Extension of GA 5. Application of GA 6. Evorution Strategy and Genetic Programing 7. Evolutionary Computation and Multiobjective Problems 8. Artificial Life 9. Ant Colony Optimization 10. Particle Swarm Optimization |
Textbook | To be distributed in the class |
References | To be introduced, if necessary |
Evaluation | Based on discussion during the class, practice, and report. |
TF / TA | |
Misc. |