Please use this identifier to cite or link to this item: https://doi.org/10.1109/MCI.2009.933100
Title: Experience teaching a graduate level course in evolutionary computation
Authors: Srinivasan, D. 
Issue Date: 2009
Source: Srinivasan, D. (2009). Experience teaching a graduate level course in evolutionary computation. IEEE Computational Intelligence Magazine 4 (3) : 45-46. ScholarBank@NUS Repository. https://doi.org/10.1109/MCI.2009.933100
Abstract: Various experiences from the graduate level course in the area of evolutionary computation at the National University of Singapore, Singapore are discussed. The course aims to introduce students to the foundational principles of the various evolutionary computation techniques as well as theories. The course explores the theory and practice of evolutionary computation and related techniques, with an emphasis on the experimental aspects and leading edge research. Theoretical foundations and salient aspects in the design of an evolutionary algorithm, including representation, variation operators, control parameters and constraint handling, are also taught. The course is an in-depth introduction to evolutionary computing techniques and other nature inspired algorithms in the area of computational intelligence, enabling the students to understand the current work in the field and providing starting points for novel research.
Source Title: IEEE Computational Intelligence Magazine
URI: http://scholarbank.nus.edu.sg/handle/10635/68236
ISSN: 1556603X
DOI: 10.1109/MCI.2009.933100
Appears in Collections:Staff Publications

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