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Topics in Computer Science
COMP 360
Spring 2010 not offered
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: Logical Reasoning, Quantitative Reasoning
This course will focus on the creation of specific and general computational models and will train students in the mastery of their concrete and formal descriptions.
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)(SISP)

Last Updated on MAR-02-2024
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