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Topics in Computer Science
COMP 360
Fall 2009
Section: 01  
This course may be repeated for credit.

This course will introduce students to the key concepts in Evolutionary Computing (EC) and give a broad overview of the field by looking at some of the more common evolutionary algorithms employed in EC. Topics will include Genetic Algorithms (GAs), Genetic Programing (GP), a number of selection schemes, crossover operators, mutation operators, representation schemes, and exaptation in EC. We will Look at Multi-Objective Genetic Algorithms (MOGAs), Evolution Strategies (ES), Artificial Life, and other types of evolutionary algorithms as well.

Essential Capabilities: None
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: LectureGrading Mode: Graded
Level: UGRD Prerequisites: COMP212
Fulfills a Major Requirement for: (COMP)(MATH)(NS&B)(STS)
Past Enrollment Probability: Not Available

Last Updated on APR-21-2024
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