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Session:

Workshop - Undergraduate Student Workshop

Title:

Altering Genetic Algorithm Parameters for the Traveling Salesman Problem: An Empirical Study

 

 

Authors:

Travis Zimmerman
John W. Coffey

 

 

Abstract:

Optimization problems are an important area of research in computer science, and genetic algorithms are becoming popular methods for solving these problems. This paper offers a brief introduction to optimization problems as well as genetic algorithms. An empirical study of genetic algorithms for the traveling salesman problem is presented, showing that genetic algorithms are effective at solving optimization problems.

 

 

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