%0 Journal Article
	%A Javier Barrachina and  Piedad Garrido and  Manuel Fogue and  Julio A. Sanguesa and  Francisco J. Martinez
	%D 2016
	%J International Journal of Educational and Pedagogical Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 118, 2016
	%T Understanding Evolutionary Algorithms through Interactive Graphical Applications
	%U https://publications.waset.org/pdf/10005581
	%V 118
	%X It is very common to observe, especially in Computer
Science studies that students have difficulties to correctly understand
how some mechanisms based on Artificial Intelligence work. In
addition, the scope and limitations of most of these mechanisms
are usually presented by professors only in a theoretical way,
which does not help students to understand them adequately. In this
work, we focus on the problems found when teaching Evolutionary
Algorithms (EAs), which imitate the principles of natural evolution,
as a method to solve parameter optimization problems. Although
this kind of algorithms can be very powerful to solve relatively
complex problems, students often have difficulties to understand
how they work, and how to apply them to solve problems in
real cases. In this paper, we present two interactive graphical
applications which have been specially designed with the aim of
making Evolutionary Algorithms easy to be understood by students.
Specifically, we present: (i) TSPS, an application able to solve the
”Traveling Salesman Problem”, and (ii) FotEvol, an application able
to reconstruct a given image by using Evolution Strategies. The
main objective is that students learn how these techniques can be
implemented, and the great possibilities they offer.
	%P 3416 - 3422