COMP 5660 · Evolutionary Computing

3 credit hoursTypically offered: Fall
Description

This course covers in depth the fundamentals of evolutionary computing and surveys the most popular types of evolutionary algorithms (e.g., genetic programming), a class of stochastic, population-based algorithms inspired by natural evolution theory, genetics, and population dynamics, capable of solving complex optimization and modeling problems. It applies them to solve a series of challenging assignments involving intensive programming, experimentation, statistical analysis, and technical writing.

Prerequisites
one ofSTAT 3010STAT 3600
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Course details from the 2026–2027 Auburn Bulletin.