Title :
Teaching Advanced Features of Evolutionary Algorithms Using Japanese Puzzles
Author :
Salcedo-Sanz, Sancho ; Portilla-Figueras, Jose A. ; Ortíz-García, Emilio G. ; Pérez-Bellido, Ángel M. ; Yao, Xin
Author_Institution :
Dept. of Signal Theor. & Commun., Escuela Politecnica Superior, Madrid
fDate :
5/1/2007 12:00:00 AM
Abstract :
In this paper, a method to teach advanced features of evolutionary algorithms (EAs), using a famous game known as Japanese puzzles is presented. The authors show that Japanese puzzles are constrained combinatorial optimization problems, that can be solved using EAs with different encodings, and are challenging problems for EAs. Other features, such as special operators and local search heuristics and its hybridization with genetic algorithms, can also be taught using these puzzles. The authors report an experience using this method in a course taught at the Universidad de Alcalaacute, Madrid, Spain
Keywords :
education; genetic algorithms; Japanese puzzles; Madrid; Spain; Universidad de Alcala; constrained combinatorial optimization problems; encodings; evolutionary algorithms; genetic algorithm; local search heuristics; special operators; Application software; Computer science; Constraint optimization; Education; Encoding; Evolutionary computation; Genetic algorithms; Machine learning algorithms; Process control; Signal processing algorithms; Advanced encodings; Japanese puzzles; evolutionary algorithms (EAs); local search; memetic algorithms; teaching method;
Journal_Title :
Education, IEEE Transactions on
DOI :
10.1109/TE.2007.893170