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