Improving the performance of evolutionary algorithms in grid-based puzzles resolution

Author:

Ortiz-García E. G.,Salcedo-Sanz S.,Pérez-Bellido Á. M.,Carro-Calvo L.,Portilla-Figueras A.,Yao X.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Reference23 articles.

1. Khoo A, Zubek R (2002) Applying inexpensive AI techniques to computer games. IEEE Intell Syst 17(4):48–53

2. Lucas SS, Kendall G (2006) Evolutionary computation and games. IEEE Comput Intell Mag 1(1):10–18

3. Kendall G, Parkes A, Spoerer K (2008) A Survey of NP-Complete Puzzles. Int Comput Games Assoc J 31(1):13–34

4. Ortiz-García E, Salcedo-Sanz S, Pérez-Bellido AM, Portilla-Figueras A, Yao X (2008) Solving very difficult Japanese puzzles with a hybrid evolutionary-logic algorithm. Lect Notes Comput Sci 5361:360–369

5. Batenburg B, Kosters W (2004) A discrete tomography approach to Japanese puzzles. In: Proceedings of the Belgian-Dutch conference on artificial intelligence, pp 243–250

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1. Nonograms: Combinatorial questions and algorithms;Discrete Applied Mathematics;2014-05

2. On the Difficulty of Nonograms;ICGA Journal;2012-12-01

3. Solving Japanese nonograms by Taguchi-based genetic algorithm;Applied Intelligence;2012-01-26

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