Theory and practice of biologically-inspired search strategies, including genetic algorithms, genetic programming, and evolution strategies. Applications include optimization, parameter estimation, and model identification. Significant project. Students from multiple disciplines encouraged. Pre/co-requisites: Familiarity with programming, probability, and Statistics. Cross-listed with: CS 352, CSYS 352.
Subject
BIOL
Course Number
352
Credits
3.00
Course Sections
Course | Section | Title | Instructor | Term | CRN (Reg #) |
---|---|---|---|---|---|
BIOL 352 | A | Evolutionary Computation | Margaret Eppstein | Fall 2014 | 93246 |
BIOL 352 | A | Evolutionary Computation | Margaret Eppstein | Fall 2013 | 94586 |
BIOL 352 | A | Evolutionary Computation | Margaret Eppstein | Fall 2012 | 92999 |
BIOL 352 | A | Evolutionary Computation | Margaret Eppstein | Fall 2011 | 94392 |