Author:
Tan Kar Bin,Teo Jason,Chin Kim On,Anthony Patricia
Publisher
Springer Berlin Heidelberg
Reference17 articles.
1. Bouzy, B., Cazenave, T.: Computer Go: an AI Oriented Survey. Artificial Intelligence Journal 132, 39–103 (2001)
2. Thu Bui, L., Alam, S.: Multi-Objective Optimization in Computational Intelligence: Theory and Practice. Information Science Reference, Hershey (2008)
3. Coello Coello, C.A., Pulido, G.T., Montes, E.M.: Current and Future Research Trends in Evolutionary Multiobjective Optimization. In: Grana, M., Duro, R., d’Anjou, A., Wang, P.P. (eds.) Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations, pp. 213–231. Springer, London (2005)
4. Corne, D.W., Knowles, J.D.: Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others. Computing Research Repository (CoRR) abs/0908.3025 (2009)
5. Enzenberger, M.: Evaluation in Go by a Neural Network Using Soft Segmentation. In: 10th Advances in Computer Games Conference (ACG-10), Graz, Styria, Austria, pp. 97–108 (2003)