CS 385 Evolutionary Computing 3.0 Credits
This course covers computational intelligence approaches to problem solving for classification, adaptation, optimization, and automated control. Methods covered will include evolutionary programming/genetic algorithms, genetic programming, neural networks, swarm optimization, and fuzzy logic.
Repeat Status: Not repeatable for credit
Prerequisites: CS 260 [Min Grade: C] and CS 380 [Min Grade: C]