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Comp Sci 5401: Evolutionary Computing
Introduces evolutionary algorithms, a class of stochastic, population-based algorithms inspired by natural evolution theory (e.g., genetic algorithms), capable of solving complex problems for which other techniques fail. Students will implement course concepts, tackling science, engineering and/or business problems.
Additional Info:
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Time/Day: 02:00 pm - 03:15 pm TR Prerequisites: A "C" or better grade in both Comp Sci 2500 and in a Statistics course. Units: 3 Course Component(s): Lecture Introduction Video: Intro |
Group Project: no Live Participation Required: no Download Restrictions: allowed upon request |
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Books: A.E. Eiben and J.E. Smith, Introduction to Evolutionary Computing, Second Edition, Springer, 2015, ISBN 978-3-662-44873-1 [Companion website: http://evolutionarycomputation.org] Course webSite: http://web.mst.edu/~tauritzd/courses/ec/cs5401fs2017 |
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| Campus | Delivery Mode | Class Status | Class Nbr | Section |
| Distance Education | Internet | OPEN | 72515 | 1DIS |
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| Learning Management System | Canvas | |||