DocumentCode
2690514
Title
A hybrid hopfield network-genetic algorithm approach for the lights-up puzzle
Author
Ortiz-García, Emilio G. ; Salcedo-Sanz, Sancho ; Pérez-Bellido, Ángel M. ; Portilla-Figueras, Antonio
Author_Institution
Univ. de Alcala, Madrid
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
1403
Lastpage
1407
Abstract
This paper presents a hybrid genetic algorithm for solving a logic-type puzzle known as lights-up puzzle. The algorithm uses a binary Hopfield neural network to solve part of the puzzle constraints. The genetic algorithm manages other set of constraint as it looks for good quality solution in term of the puzzle´s objective function. We show the good performance of our approach in a number of lights-up puzzles instances downloaded from the Internet.
Keywords
Hopfield neural nets; computer games; games of skill; genetic algorithms; integer programming; linear programming; Internet; binary Hopfield neural network; genetic algorithm; integer linear programming; lights-up puzzle; logic-type puzzle; puzzle constraint; Evolutionary computation; Genetic mutations; Hopfield networks; hybrid genetic algorithms; lights-up puzzle;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1339-3
Electronic_ISBN
978-1-4244-1340-9
Type
conf
DOI
10.1109/CEC.2007.4424635
Filename
4424635
Link To Document