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Recent Advances in Applied Computational Intelligence

Computational intelligence has been in constant development over the last decades. Every time we think that the limit has been reached, new challenges emerge. Currently, we face completely different problems than we faced 10 or 20 years ago. Dynamic streams of data, massive amounts of information being processed, real-time analyse, and social networks are among just a few of the examples that come to mind. There is a need for ongoing progress and adaptation to new problems at hand. Assumptions that general principles of given algorithms will behave similarly for each problem are not valid. The theoretical and practical sides of computational intelligence are merging. We need to have a strong background for each method and an outlook on its general performance. A high variety characterizes problems that need to be solved. It causes the need to tune each method to the specific problem. This is the most fascinating part of developing new methods—seeing them used in real-life and facing difficulties that could not be identified on the purely theoretical level. This Special Issue includes extended versions of the best articles presented at the 7th International Symposium on Advances in Artificial Intelligence and Applications (AAIA’12), as a part of the Federated Conference on Computer Science and Information Systems 2012 (FedCSIS 2012). AAIA is a growing conference, dedicated to presenting a broad outlook on current developments in both theoretical and practical aspects of artificial intelligence. By maintaining a wide scope of topics of interest,