This course covers a variety of nature-inspired computing techniques; the representative component is evolutionary algorithms (EAs), which will be mainly studied. A number of issues behind EAs from design, theory to applications are extensively investigated. Furthermore, state-of-the-art topics such as the multi-objective EAs and the probability-model based EAs are covered.

"Genetic algorithms in search, optimization, and machine learning" by David E. Goldberg, Addison-Wesley Publishing Company

Instructor: Prof. Chang Wook Ahn - cwan@gist.ac.kr

Teaching Assistant: Jun Suk Kim - junsuk89@gist.ac.kr