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 :
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