CSCI 253 - Genetic Algorithms

Credits: 3
Planned Offering: Offered when interest is expressed and departmental resources permit.

Prerequisite: CSCI 112. A survey of the major developments in genetic/evolutionary algorithms, from the Simple Genetic Algorithm through modern multiobjective optimization methods. Topics include fitness landscapes, the Schema and Building Block Hypotheses, learning and the Baldwin Effect, and genetic programming, with readings from both popular textbooks and the scholarly literature. A major focus of the course is on writing programs to implement and apply these algorithms. Levy.